PORTFOLIO LAB

Orchestrate a comprehensive multi-tenant enterprise HRMS spanning attendance, payroll, leave approvals, asset management, task tracking, holidays, reports, and notifications, while enforcing continuous real-time shift tracking and violation safeguards without breaching strict mobile battery, privacy, or app store policy constraints.

A 15+ microservice backend built on .NET and C# with PostgreSQL for transactional persistence, Kafka for high-throughput event streaming, and Redis for distributed caching. Features strict multi-tenant isolation and granular Role-Based Access Control (RBAC). Real-time communication is coordinated through SignalR hubs for instant in-app alerts and Firebase Cloud Messaging (FCM) for push notifications. The frontend features a TypeScript React admin portal paired with cross-platform React Native and Expo mobile apps, served via Nginx with load balancing on AWS, Cloudinary-powered media asset pipelines, and automated Git-driven CI/CD delivery.

• 2,000+ daily active users across multi-tenant enterprise deployments
• Production store approval on both Apple App Store and Google Play Store with 'always allow' background location
• Real-time shift integrity with automated detection of geofence, mock GPS, offline, and device-mismatch violations
• End-to-end workforce suite: attendance, payroll, reports, asset management, tasks, holidays, and multi-tier leave approval

Empower distributed field sales teams across enterprise clients to capture leads, track client lifecycles, and execute scheduled follow-ups without missing meetings, while equipping leadership with real-time field route intelligence, agent performance analytics, and multi-channel report dissemination.

A multi-tenant field sales platform built with JavaScript/TypeScript, React, React Native, and Expo. React Redux and React Query manage complex offline-capable field state and server synchronization, with PostgreSQL persisting structured lead, client, and interaction records. WebSockets and Redis Pub/Sub power live manager announcements and real-time field updates. The mobile client embeds Google Maps SDK for client location mapping and route optimization, Firebase and Expo Push Notifications (FCM) for follow-up reminders and missed-task alerts, and Cloudinary for field document and media asset management, deployed on DigitalOcean Droplets behind Nginx and CDN.

• 5+ enterprise clients operating active field sales pipelines
• Google Maps integrated path optimization cutting travel time between scheduled client locations
• Automated multi-channel report distribution via WhatsApp, email, and secure links with performance KPIs
• Zero-miss follow-up reliability using Expo push notifications, dynamic form templates, and Cloudinary assets

Bridge the healthcare accessibility gap for patients in remote regions lacking immediate hospital access by delivering reliable, doctor-grade preliminary medical guidance and symptom triaging through an intelligent conversational interface without generating hallucinations.

A full-stack telemedicine platform engineered with MongoDB, Express, React, and Node.js, integrated with a dedicated Python AI service layer. Over 100,000+ medical records, symptom guides, and clinical datasets are embedded using Hugging Face Transformer models and indexed in a ChromaDB vector database. When a patient describes symptoms, LangChain executes similarity retrieval over the embeddings, and Google's Gemini API synthesizes grounded, context-aware clinical responses through tailored prompt engineering and safety guardrails.

• Vectorized and indexed 100,000+ medical text records into ChromaDB for high-precision semantic search
• Sub-second RAG retrieval pipeline combining Hugging Face embeddings, LangChain orchestration, and Gemini API synthesis
• Remote patient triage interface providing contextual clinical guidance prior to hospital travel
• Robust prompt engineering guardrails ensuring disclaimers and hallucination-free medical context

Help students explore career direction, evaluate aptitude, and connect with relevant colleges.

A full-stack application built with MongoDB, Express, React, and Node.js, combining structured aptitude-testing flows with an interactive student-to-college discovery bridge.

• Aptitude-testing workflow
• Student–college discovery bridge

Turn an Instagram-first apparel shopping experience into a responsive, independently owned web storefront.

A React and Next.js commerce experience using Zustand for client state, React Query for server-state coordination, PostgreSQL with Prisma ORM for data modeling, Redis for caching, Razorpay for payment integration, and Google Cloud Run for containerized deployment.

• Responsive catalogue, cart and Razorpay checkout workflow
• Containerized Google Cloud Run architecture with Prisma, PostgreSQL and Redis

Present Codebxo's advertising, media and production capabilities through a distinctive, responsive digital experience.

A statically generated React and Next.js website with Zustand-managed interface state, GSAP and Three.js motion, and Cloudinary-backed media delivery.

• Motion-led company storytelling
• Optimized cloud media delivery

Keep workout sessions, timing and user progress organized on Android.

A Kotlin Android application with profiles, workout timers, Firebase and cloud synchronization.

• Timed workout tracking
• Profile and cloud-sync flows

Modernize enterprise operational workflows with structured purchase order lifecycles and real-time inventory tracking on a dedicated, low-overhead edge server.

A Next.js enterprise web application with responsive UI dashboards, Redux Toolkit for complex multi-step transactional client state, and MySQL for relational data persistence. The backend integrates structured API management for orders, vendors, and inventory auditing, deployed and served on an on-premise Linux-powered Raspberry Pi edge device.

• Streamlined purchase order lifecycle from requisition to vendor fulfillment
• Real-time multi-category inventory tracking and stock replenishment alerts
• Self-contained, cost-effective on-premise enterprise deployment on Raspberry Pi