Webatlas Technologies Pvt Ltd
About Webatlas Technologies Pvt Ltd
Webatlas Technologies Pvt. Ltd. is a global digital product engineering company founded in 2017 and a proud member of the HHW Group USA Alliance. We help startups, SMBs, and enterprises transform ideas into scalable digital products through innovative software engineering and AI-driven solutions.
Our expertise spans Custom Software Development, AI & Machine Learning Solutions, SaaS Product Development, Mobile App Development, Web Development, UI/UX Design, MVP Development, CRM & Lending Software, IT Consulting, and Cloud Solutions. We build secure, high-performance applications tailored to each client's unique business objectives.
Our experienced team leverages modern technologies including React, Angular, Node.js, .NET, Python, Flutter, FastAPI, AWS, Azure, TensorFlow, PostgreSQL, and SQL Server to deliver reliable, scalable, and future-ready solutions.
With experience across 15+ industries, including Healthcare, FinTech, Travel, Retail, Logistics, Education, Real Estate, and SaaS, we follow agile development practices, maintain transparent communication, and provide dedicated post-launch support to ensure long-term business success.
Our mission is to build technology that drives measurable business growth, accelerates digital transformation, and creates lasting value for our clients worldwide.
Webatlas Technologies Pvt. Ltd. is a global digital product engineering company founded in 2017 and a proud member of the HHW Group USA Alliance. We help startups, SMBs, and enterprises transform ideas into scalable digital products through innovative software engineering and AI-driven solutions.
Our expertise spans Custom Software Development, AI & Machine Learning Solutions, SaaS Product Development, Mobile App Development, Web Development, UI/UX Design, MVP Development, CRM & Lending Software, IT Consulting, and Cloud Solutions. We build secure, high-performance applications tailored to each client's unique business objectives.
Our experienced team leverages modern technologies including React, Angular, Node.js, .NET, Python, Flutter, FastAPI, AWS, Azure, TensorFlow, PostgreSQL, and SQL Server to deliver reliable, scalable, and future-ready solutions.
With experience across 15+ industries, including Healthcare, FinTech, Travel, Retail, Logistics, Education, Real Estate, and SaaS, we follow agile development practices, maintain transparent communication, and provide dedicated post-launch support to ensure long-term business success.
Our mission is to build technology that drives measurable business growth, accelerates digital transformation, and creates lasting value for our clients worldwide.
Key Insights
Services & Focus
Industry Focus
Client Focus
Portfolio
Vast Advisor – Financial Services Analytics & Compliance SaaS
Vast Advisor – Enterprise Analytics & Compliance SaaS for RIAs & Financial Services Firms
Vast Advisor is an enterprise platform for Registered Investment Advisors (RIAs) and financial services firms, built to unify campaign analytics, agent performance oversight, compliance monitoring, and onboarding - all within a single modular, scalable system.
Traditional advisory platforms fail by siloing data across firms, offering limited agent visibility, and providing fragmented compliance tools. Vast Advisor solves this with a centralized, analytics-first architecture delivering real-time insights and structured oversight across distributed networks.
Core Problems Solved
No unified campaign analytics across the enterprise network
Limited visibility into individual agent productivity and coaching needs
Fragmented compliance monitoring with inconsistent violation tracking
Confusing, unbranded onboarding experience causing user drop-off
Solution Architecture
Vast Advisor is a modular SaaS platform built on the ABP Framework with Blazor frontend components. Each dashboard module operates independently while sharing a unified design system and centralized data aggregation layer - enabling network-wide and firm-level filtering across live and demo datasets.
Key design features:
Enterprise Campaign IQ Dashboard with network KPIs, spend trends, and benchmarking
Agent IQ Dashboard with real-time productivity analytics and coaching recommendations
Compliance IQ Dashboard with AI-powered monitoring, violation trends, and audit tools
Redesigned onboarding UX aligned with platform design system and best practices
Key Features
Campaign Intelligence – Network-wide KPIs, channel mix analysis, firm-level benchmarking, and performance trends
Agent Performance – Real-time productivity logs, improvement recommendations, and configuration management for structured coaching
Compliance Monitoring – Consolidated violation tracking, AI-powered flagging, advanced filters, regulatory reporting, and audit readiness tools
Onboarding UX – Structured, branded user entry flow reducing friction and support requests
Admin & Reporting – Role-based access, modular dashboards, and real-time data integration across the advisory network
Technology Stack
Frontend: Blazor, LeptonX theme, ABP design system, Chart.js
Backend: .NET, ABP Framework, REST APIs for data aggregation
Database: PostgreSQL (Dockerized deployment)
Integrations: Marketing data sources, compliance feeds, AI monitoring modules
Hosting: Hostinger (demo), internal production servers
Business Impact
Holistic visibility: Leadership gains network-wide campaign and agent insights for strategic decisions
Agent growth: Transparent analytics drive productivity improvements and coaching engagement
Reduced compliance risk: Consolidated monitoring strengthens audit readiness and regulatory confidence
Smoother onboarding: Structured UX reduced support requests and improved user satisfaction
Scalable foundation: Modular architecture supports real-time integrations and multi-firm expansion
Crew Planner - Fleet & Crew Management Platform
Crew Planner is a multi-tenant platform designed for maritime organizations to manage crew, fleets, and operational workflows. It centralizes crew assignments, certifications, and access control into a secure system.
Traditional fleet management systems lack centralization, security, and real-time visibility. Crew Planner solves this with a scalable, role-based, and data-secure platform.
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- No centralized crew and fleet management
- Data security risks across fleets
- Inefficient crew assignment processes
- Poor communication and operational visibility
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Built as a multi-tenant system with strict data isolation, role-based access control, and real-time operational tracking.
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- Fleet-level data segregation
- Centralized crew profiles and assignments
- Role-based permissions and access control
- Notification and alert system
- Admin dashboards and audit tracking
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1. Operational Efficiency: Faster crew assignment
2. Improved Security: Strict data isolation across fleets
3. Better Visibility: Real-time operational insights
4. Reduced Errors: Improved data consistency
5. Higher Adoption: Increased usage and admin productivity
Intervia – AI-Driven Student Interview Readiness Platform
Intervia University Dashboard – AI-Driven Career Readiness Analytics for University Career Centers
Intervia is a web-based analytics dashboard for university career centers, built to centralize student interview readiness data, surface actionable insights, and transition advisors from static reporting to AI-powered predictive and prescriptive analytics.
Career centers previously operated with scattered spreadsheets, no unified readiness view, and zero predictive capability. Intervia solves this with a centralized, secure, analytics-first platform that gives advisors a single source of truth and empowers data-driven student interventions.
Core Problems Solved
Scattered data with no unified view of student interview readiness
Advisors relying on manual spreadsheets for individual student analysis
Sensitive student data lacking secure, role-based access controls
Static reporting with no forecasting or early intervention capability
Solution Architecture
Intervia is a cloud-hosted SPA with a REST API backend and integrated AI forecasting layer. The platform combines structured KPI dashboards, searchable student workspaces, and predictive analytics into a single secure interface - with role-based access and session management protecting sensitive data throughout.
Key design features:
KPI dashboard with readiness tiers, STAR analysis, and skill heatmaps
Searchable student workspace with advanced filters and individual profiles
Secure auth layer with session management and password reset flow
AI forecasting engine with at-risk predictions and workshop recommendations
Key Features
Readiness Intelligence – Unified KPIs, readiness tier breakdowns, STAR method analysis, and skill gap heatmaps
Student Workspace – Searchable, filterable student profiles replacing manual spreadsheet workflows for advisors
AI-Powered Forecasting – Predictive at-risk identification, interview outcome forecasts, and targeted workshop recommendations
Secure Access – Authentication, RBAC, HTTPS, and session management ensuring compliant data governance
Prescriptive Analytics – Actionable intervention planning and resource allocation insights beyond static reporting
Technology Stack
Frontend: SPA (modern JS framework), responsive analytics UI
Backend: REST APIs for analytics, readiness scoring, and student data aggregation
Database: Centralized student and interview store with optimized aggregations
AI Integration: Forecasting and predictive analytics services
Hosting: Cloud-based with HTTPS and role-based access control
Business Impact
Single source of truth: Advisors gain instant, unified visibility into readiness metrics across the student body
Faster preparation: Searchable profiles and smart filters eliminate manual spreadsheet workflows
Secure governance: Auth layer and RBAC ensure compliant handling of sensitive student data
Predictive capability: AI forecasts enable early identification of at-risk students and timely interventions
Smarter resource allocation: Data-driven insights guide workshop planning and career center priorities
Montage Software - Digital Licensing & Commerce Platform
Montage – Digital Commerce & Software License Management Platform
Montage is a digital commerce platform designed for selling software products and managing licenses for individuals and organizations. It enables automated payments, license lifecycle management, and financial tracking.
Traditional licensing systems lack automation, accuracy, and scalability. Montage solves this with an integrated system for payments, licensing, and accounting workflows.
Core Problems Solved
Complex user invitation and onboarding flows
Inaccurate payment and revenue calculations
Email delivery failures for critical communication
Inefficient order management at scale
Solution Architecture
Built using .NET-based architecture with integrated payment systems, automated financial calculations, and optimized order workflows for scalability and reliability.
Key Design Features
Automated license lifecycle management
Dynamic invitation system with policy validation
Payment calculation engine with revenue distribution
Optimized order processing workflows
Secure transactional email system
Technology Stack
Frontend/Backend: .NET / ASP.NET MVC
Database: MS SQL Server
Payments: PayPal API
Email: SMTP Services
Tools: NopCommerce, Perforce
Key Features
Payment Integration - PayPal-based secure transactions
License Management - Automated tracking and lifecycle handling
Invitation System - Dynamic user onboarding flows
Order Processing - Optimized workflows for performance
UI Enhancements - Global dark theme support
Business Impact
Improved Efficiency: Faster order processing
Accurate Financials: Reduced calculation errors
Better Onboarding: Reliable email delivery
Automation: Journal entries and transactions automated
Enhanced UX: Improved usability with dark theme
Raprod – B2B Manufacturing Marketplace & Real-Time Bidding Platform
Raprod – Scalable B2B E-Commerce Bidding Platform for Manufacturing and Global Sourcing
Raprod is a cloud-based B2B manufacturing marketplace designed to streamline supplier discovery, RFQ management, and competitive bidding for custom production. Traditional manufacturing sourcing is fragmented, manual, and opaque. Businesses rely on scattered communication, spreadsheets, and inconsistent quote comparisons.
Raprod centralizes the entire procurement lifecycle - from supplier search to bid evaluation and order tracking - inside a scalable SaaS marketplace platform.
Core Business Problems Solved
Fragmented supplier discovery and manual outreach
Lack of standardized RFQ and bidding workflows
Inefficient quote comparison and negotiation
Complex custom order specification management
Low trust due to unverified manufacturers
Solution Architecture
Raprod is a scalable API-first B2B marketplace built for high-volume RFQs and real-time competitive bidding.
Core capabilities include:
Manufacturer discovery
Structured RFQ submission
Live bidding engine
Quote comparison
Order tracking
Supplier verification
Secure messaging
Designed for performance, the platform maintains stability under high bid volume and multi-user concurrency.
Key Features & Capabilities
Structured RFQ Management
Buyers submit detailed manufacturing orders including materials, tolerances, dimensions, production quantities, and timelines.
Competitive Bidding Engine
Manufacturers submit real-time bids, enabling transparent price comparison, timeline evaluation, and fair supplier competition.
Verified Supplier Network
Multi-step manufacturer verification process ensures trust, compliance, and production reliability.
Order & Project Tracking
Centralized dashboard for monitoring bid status, negotiation history, production stages, and communication threads.
Secure Marketplace Infrastructure
Role-based access control, protected communication channels, and secure data storage for sensitive manufacturing specifications.
Technology Stack
Frontend: React.js, Angular 21, JavaScript
Backend: Scalable REST API architecture
Database: Structured relational database for bid and RFQ management
Architecture: Cloud-based SaaS marketplace infrastructure
Security: Role-based authentication & secure communication channels
The platform was designed to support scalability, high user concurrency, and real-time bid processing without performance degradation.
Key Engineering Challenges Solved
Designing a scalable bidding engine with low latency
Maintaining bid record accuracy and data integrity
Building intuitive UX for both buyers and manufacturers
Implementing supplier verification workflows
Ensuring platform scalability for global expansion
Each challenge was addressed through careful database modeling, optimized API design, and performance-focused frontend architecture.
Business Impact
Reduced supplier discovery time significantly
Enabled transparent competitive pricing
Improved procurement efficiency and quote comparison
Increased trust through verified manufacturer onboarding
Built scalable infrastructure for global manufacturing expansion
Xenophon - Court Reporting & Legal Transcription Platform
Xenophon – Secure Court Reporting & Legal Transcription Platform
Xenophon is a secure, cloud-based court reporting platform built for legal professionals to capture, transcribe, manage, and share legal proceedings in real time. Designed for law firms, courts, and government agencies, it enables accurate transcription, secure document handling, and seamless remote collaboration.
Traditional court reporting relies heavily on manual processes, delayed transcripts, and fragmented systems. Xenophon solves this through a centralized, AI-enabled platform delivering real-time transcription, secure storage, and integrated legal workflows.
Core Problems Solved
Delayed and costly manual transcription processes
Fragmented and insecure document management
Limited support for remote and hybrid hearings
Lack of integration with legal case management systems
Solution Architecture
Xenophon is built as a secure, scalable platform combining real-time transcription engines, cloud storage, and role-based access systems. It supports cross-platform access (mobile + web) with offline capabilities and seamless API integrations for legal workflows.
Key Design Features
Real-time transcription with speaker identification and timestamping
Secure document storage with encryption and controlled sharing
Cross-platform access with offline functionality
Integration-ready APIs for legal systems
Advanced search and annotation capabilities
Technology Stack
Frontend: React Native, React.js
Backend: Node.js / Django / .NET Core
Database: PostgreSQL, MongoDB
AI & Speech: Google Speech-to-Text, Whisper, Amazon Transcribe
Storage: AWS S3 / Azure Blob
Security: OAuth2, JWT, End-to-End Encryption
Key Features
Transcription Engine - AI-powered real-time speech-to-text with high accuracy
Secure Document Management - Encrypted storage with role-based access
Remote Accessibility - Support for hybrid and remote legal proceedings
Search & Annotation - Full-text search with tagging and annotations
Workflow Tools - Scheduling, billing, and e-signature capabilities
Business Impact
Faster Transcription: Reduced turnaround time significantly
Improved Accessibility: Enabled remote and hybrid hearings
Enhanced Collaboration: Seamless sharing across legal teams
Stronger Compliance: Secure and audit-ready document handling
Operational Efficiency: Reduced administrative overhead
Rose POS – Enterprise Restaurant POS SaaS
Rose POS – Scalable Restaurant & Dining Point-of-Sale SaaS
Rose POS is a restaurant and dining POS system built to optimize order entry, payments, printing, table management, and admin reporting. It reduces counter and kitchen errors, speeds service, and gives management clear visibility of sales, cash handling, and staff actions.
Traditional POS systems often fail due to inconsistent terminals, unreliable printing, confusing workflows, and weak audit trails. Rose POS solves these challenges with a centralized, backend-driven architecture where terminals act as thin clients, and all hardware and business logic is controlled centrally.
Core Problems Solved
Inconsistent terminal behavior causing printing and cash drawer errors
Hardware failures and network issues affecting receipts and cash handling
Weak order history, void tracking, and transaction visibility
Confusing table, to-go, and active order workflows
Split bill, partial payment, and end-of-day cash reconciliation issues
Difficult reprint, barcode scanning, and testing of hardware
Solution Architecture
Rose POS is a cloud-ready, backend-driven POS SaaS platform. Terminals and tablets are thin clients; all actions go through FastAPI backend services, ensuring reliability and fail-safe operations.
Key design features:
Centralized printing and cash drawer control via universal printer manager and aliases
Print queue with retries and logging to prevent order blocking
Persistent order storage with structured Order History API
Table management aligned with real restaurant workflows
Secure, traceable void logs and transaction histories
Key Features
Reliable Printing & Cash Management – Thermal/dot-matrix printers, backend-controlled drawers, virtual printer for testing
Order & Table Management – Intuitive table prompts, active order context, smooth table move, and to-go flows
Payment & Split Bills – Accurate split bill calculations, partial payment handling, and end-of-day denomination-first reconciliation
Audit & Order History – Complete logs of orders, voids, payments, and cash movements; detailed admin dashboards with filters
POS Dashboard & Admin Interface – Real-time monitoring, role-based access, discount/special management, and financial reporting
Technology Stack
Frontend: React.js, Electron, responsive POS UI
Backend: FastAPI (Python), REST API-driven business logic
Database: Persistent relational storage for orders, transactions, and cash records
Hardware Integration: LAN printers, cash drawers, USB barcode scanners, virtual printer
Authentication & Security: Role-based terminal access, centralized configuration
Hosting: Local network-accessible backend supporting multi-terminal connectivity
Business Impact
Higher reliability: Print queues, alias routing, virtual printer testing reduced errors
Faster operations: Streamlined table, to-go, and payment workflows
Improved accuracy: Split bills, currency rounding, and order references are correct
Audit & control: Full logging of voids, drawer opens, and transactions
Better UX: Active order context, table colors, prompts match real workflows
Scalable foundation: Configuration-driven hardware and terminal roles ready for multi-location deployment
FLX Networks – B2B Wealth Management Engagement Platform
FLX Networks – Multi-Sided B2B Platform for Asset Managers, Wealth Firms & Financial Advisors
FLX Networks is a multi-sided B2B platform designed to modernize engagement between asset managers, wealth firms, and financial advisors. It centralizes due diligence, marketplace workflows, and advisor interactions into a unified digital ecosystem.
Traditional systems struggle with fragmented workflows, compliance challenges, and scalability issues. FLX Networks solves this through a cloud-native, API-driven architecture enabling secure, scalable, and high-performance operations.
Core Problems Solved
Fragmented due diligence and marketplace workflows
Scalability and performance limitations
Complex compliance and data security requirements
Low user engagement due to poor UX
Solution Architecture
Built using a cloud-native, modular architecture with API-driven services, enabling seamless integration of workflows, scalable infrastructure, and secure data handling across the platform.
Key Design Features
Unified workflow system for due diligence and engagement
Scalable cloud infrastructure (AWS/Azure)
Secure data handling with RBAC and OAuth2
Responsive, intuitive dashboards
Continuous deployment and monitoring
Technology Stack
Frontend: React, Angular
Backend: Node.js, Python, Java
Database: MySQL, MongoDB
Cloud: AWS, Azure
DevOps: Docker, Kubernetes, Jenkins
Security: SSL/TLS, OAuth2, RBAC
Monitoring: Grafana, ELK Stack
Key Features
Workflow Integration - Centralized due diligence and marketplace processes
Advisor Engagement - Personalized dashboards and interactions
Security & Compliance - Role-based access and encrypted communication
Scalability - Cloud-native architecture for high performance
Analytics & Monitoring - Real-time tracking and reporting
Business Impact
Improved Efficiency: Streamlined workflows across platform
Higher Engagement: Better advisor–manager connectivity
Scalability: Supports growing user base and data volume
Cost Savings: Faster releases and reduced operational overhead
Compliance Readiness: Strong regulatory and security alignment
LOKR – Smart IoT-Enabled Parcel Locker System
LOKR – Scalable IoT Smart Locker SaaS Platform for Last-Mile Delivery Automation
LOKR is a cloud-native IoT-enabled Smart Parcel Locker System built to solve critical last-mile delivery challenges using automation, real-time tracking, and a subscription-based SaaS architecture.
Last-mile logistics is the most expensive and failure-prone segment in supply chain operations. Courier companies face missed deliveries, repeat attempts, rising fuel costs, operational inefficiencies, and poor parcel visibility.
LOKR was architected to eliminate failed deliveries while enabling scalable recurring revenue through a secure, API-driven ecosystem.
Core Business Problems Solved
High failed delivery rates and repeated courier attempts
Lack of real-time parcel tracking and audit logs
Manual locker allocation causing delays and errors
No scalable SaaS monetization model
No centralized admin control across multiple locker stations
Solution Architecture
LOKR was architected as a cloud-native IoT + SaaS platform - built for scalable, multi-location deployment.
Designed with an API-first architecture, it integrates seamlessly with courier systems, WMS, and logistics ERP platforms - enabling expansion beyond locker infrastructure.
The platform integrates:
Physical IoT locker hardware with door sensors
FastAPI-based backend (Python microservices architecture)
PostgreSQL relational database with event logging
React.js web dashboard (Admin + Operator panels)
Stripe payment gateway integration
Subscription billing engine (Recurring billing & Pay-As-You-Go)
RESTful API architecture for courier integrations
Real-time parcel tracking & audit trail system
Every locker interaction (door open, deposit, pickup, payment confirmation) is timestamped and sensor-validated before transaction completion, ensuring data integrity and dispute-proof operations.
Key Features & Capabilities
-Secure Contactless Pickup
OTP authentication, PIN validation, and QR code access for secure parcel retrieval.
-Automated Locker Allocation Algorithm
Smart compartment assignment based on parcel size, real-time availability, and IoT door sensor verification. Prevents double booking and mismatch errors.
-Real-Time Tracking & Audit Logs
Enterprise-grade audit trail with complete event history for compliance, operational visibility, and dispute resolution.
-SaaS Subscription & Payment Automation
Stripe integration enabling subscription plans, recurring billing, digital invoicing, revenue tracking, and automated reconciliation.
-Centralized Admin Dashboard
Real-time monitoring of locker stations, user management, courier access control, financial reporting, emergency unlock controls, and incident alerts.
Technology Stack
Frontend: React.js, JavaScript, Responsive UI
Backend: Python, FastAPI, REST API development
Database: PostgreSQL
Payments: Stripe API Integration
Architecture: Cloud-ready SaaS, API-first design
IoT: Smart locker hardware integration with sensor validation
Authentication: OTP, PIN, QR-based secure access
Business Impact
80% reduction in failed deliveries
45% improvement in operational efficiency
99.5% successful locker transaction rate
Enabled recurring SaaS revenue model
Scalable multi-location deployment capability
ACE MMI – AI-Powered Medical Interview Preparation Platform
ACE MMI – EdTech × MedTech SaaS for UK Medical Aspirants
ACE MMI is an AI-powered SaaS platform designed to help UK medical school applicants prepare for Multiple Mini Interviews (MMIs). It simulates real-world interview environments, delivering structured practice sessions, real-time feedback, and performance analytics.
Traditional preparation methods rely on static resources or expensive coaching. ACE MMI replaces this with an accessible, data-driven platform that delivers scalable, personalised interview training.
Core Problems Solved
Lack of realistic, on-demand MMI simulation tools
No structured or personalised feedback for improvement
Inability to track performance across key interview competencies
Generic preparation resources not aligned with specific universities
High cost and limited accessibility of private coaching
Solution Architecture
ACE MMI was built using a JAMstack + serverless architecture, combining a React-based frontend with Supabase backend services and Edge Functions for AI processing. The system leverages asynchronous pipelines for scalable video analysis and real-time feedback generation.
Key design features:
AI-powered interview simulations with timed stations
Automated scoring across 8 MMI competencies
Speech and delivery analytics (WPM, pauses, filler words)
Personalised feedback with downloadable reports
Subscription-based access with coaching integration
Key Features
AI Interview Simulation – Real-time roleplay with text-to-speech prompts
Performance Analytics – Speech metrics and scoring insights
AI Feedback – Domain-based evaluation with detailed reports
University-Specific Prep – Curated MMI question banks
Interview Manager – Scheduling and preparation tracking
Subscription & Coaching – Tiered plans with 1-on-1 booking
Technology Stack
Frontend: React 18, TypeScript, Vite, Tailwind CSS
Backend: Supabase (PostgreSQL, Auth, Storage, Realtime)
AI & Processing: Supabase Edge Functions (Deno), custom AI scoring
Integrations: Stripe, Cloudinary, Acuity Scheduling, ActiveCampaign, Airtable
Hosting: Vercel + Supabase Cloud
Monitoring: Sentry, Vercel Analytics
Business Impact
1,000+ users onboarded with 5,000+ sessions completed
+47% average improvement in interview scores
95% users reported better performance
+52% improvement in communication skills
Fully production-ready with high scalability (6,000+ users supported)
Reduced dependency on expensive private coaching
Delivered accessible, AI-driven interview preparation
Ontrack Careers – AI Career Guidance & Mentorship Platform
Ontrack Careers – AI Job Impact, Skill Gap & Mentorship Platform for Working Professionals
Ontrack Careers is a web-based career platform for working professionals, built to assess AI job impact, identify skill gaps, connect users with mentors, simulate mock interviews, and surface real job opportunities. The project focused on stabilization, feature repair, backend integration, and UI standardization to restore platform trust and credibility.
Core Problems Solved
Broken authentication - logout failures, Google OAuth issues, OTP errors, subscription bypass
Non-functional CTAs across Mentorship, Skill Gap Analysis, and Mock Interview modules
Jobs section disconnected from backend with no working Save Job functionality
AI assessment results misaligned with user occupation, reducing platform trust
Unfinished pages visible in navigation causing dead ends and confusion
UI inconsistencies and design drift across a multi-contributor React codebase
Key Features
Authentication & Onboarding – Stable login/logout, reliable OTP, compliant Google OAuth, enforced subscription gating
AI Job Impact Assessment – Occupation-aligned AI insights with accurate results and simplified state management
Skill Gap Analysis – Repaired View/Download report flows with correct API retrieval and routing
Mentorship & Mock Interviews – Fully functional discovery, chat, and session flows connected to backend
Jobs Integration – Live listings, detail fetch, persistent Save Job, and real-time UI feedback
UI Standardization – Unified design system, fixed responsiveness, removed dead-end placeholder pages
Technology Stack
Frontend: React SPA, React Router, reusable component system
Backend: Auth, subscription, mentorship, assessment, and job management APIs
Integrations: OTP provider, Google OAuth, Jobs API, AI assessment services
Infrastructure: Cloud hosting, separated dev/test/prod environments, monitoring and logging
Business Impact
Reduced drop-offs: Stable auth and OTP flows eliminated login-stage friction
Higher engagement: Functional mentorship, mock interview, and assessment flows drove adoption
Stronger job discovery: Live Jobs API with Save Job linked insights to real opportunities
Restored AI trust: Accurate occupation mapping improved confidence in AI recommendations
Professional UX: Unified design and clean navigation delivered a credible, on-brand experience
Scalable foundation: Hardened auth, routing, and integrations ready for future expansion
NinjaDAM – Digital Asset Management Platform
NinjaDAM – Enterprise DAM SaaS for Organizations & Content-Driven Teams
NinjaDAM is a cloud-based Digital Asset Management (DAM) platform built to centralize, organize, and securely distribute digital assets such as images, videos, and documents across organizations. Designed with a multi-tenant SaaS architecture, it enables multiple companies to operate independently while ensuring strict data isolation, security, and scalability.
Traditional asset workflows suffer from scattered storage, poor version control, and lack of governance. NinjaDAM solves this through a unified, secure, and performance-optimized system that brings structure, visibility, and control to digital asset management.
Core Problems Solved
Digital assets scattered across multiple platforms (Drive, Dropbox, local systems)
Duplicate files and version control inconsistencies
Lack of centralized access control and governance
Brand inconsistency due to outdated or incorrect assets
No audit tracking for compliance and security
Challenges in handling large files and scaling efficiently
Solution Architecture
NinjaDAM was built as a scalable, multi-tenant SaaS platform with a schema-per-tenant architecture ensuring complete data isolation. The system integrates cloud storage, optimized search, and modular access control to deliver high performance even at scale.
Key design features:
Centralized asset repository with structured folder hierarchy
Advanced metadata tagging and full-text search
Secure sharing with expiry links and access restrictions
Role-based access control (RBAC) with granular permissions
Subscription-based multi-tenant management
Audit logging and compliance tracking
Key Features
Asset Management – Centralized storage, nested folders, collections, and metadata tagging
Smart Search – Full-text search with optimized indexing for fast retrieval
Access Control – Role-based permissions, group access, and secure sharing links
Scalable Storage – AWS S3 with multipart uploads and CDN delivery
Compliance & Audit – Activity logs, tracking, and policy enforcement
Subscription System – Tiered plans with usage tracking and enforcement
Technology Stack
Frontend: React 18, Vite, Tailwind CSS, Redux Toolkit / Zustand
Backend: ASP.NET Core 9.0, C#, Entity Framework Core, JWT Authentication
Database: PostgreSQL (Schema-per-tenant architecture)
Cloud & Storage: AWS S3, AWS CloudFront
DevOps & Hosting: Docker, Nginx, GitHub Actions/Jenkins, AWS EC2/Azure
Integrations: Google OAuth, SendGrid/SMTP, ImageSharp, FFmpeg
Business Impact
High performance: ~95ms API response time with 99.9% uptime
Scalability: Supports 100K+ assets per tenant and 10K+ concurrent users
Cost efficiency: 60% reduction in storage costs
Efficiency gains: 70% faster asset search and retrieval
Team collaboration: 85% improvement in cross-team workflows
Brand control: 90% reduction in outdated asset usage
Compliance: 100% audit tracking and governance
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