I love to Build Cool Projects. Here, you'll find a curated collection of my creative endeavors and technical projects. Each piece represents a journey of innovation, problem-solving, and continuous learning. Feel free to explore this showcase of my passion and expertise in action.
A scalable backend for a career platform featuring secure JWT-based authentication, role-based access, and complete profile management. Integrated resume parsing (PDF, DOCX, image with OCR) with AI-generated insights like skill gaps, strengths, and ATS scores. Built a job recommendation engine using user preferences and Remotive API for real-time matching, plus an AI-powered mock interview system with automated reports.
Engineered a fleet monitoring and orchestration system using Prometheus, Grafana, and a custom multi-threaded C++ controller with REST APIs for node registration, health checks, and status management across 10+ nodes
Developed ML threat detection system using TensorFlow achieving 95% accuracy on 50,000+ incident samples, reducing analyst triage time from 24 hours to 2 minutes (97% reduction)
Engineered a full-stack e-commerce platform with a Flutter (GetX) mobile frontend and a scalable Node.js/Express/TypeScript backend; architected 50+ RESTful endpoints with JWT + Google OAuth 2.0 and RBAC securing 35+ admin routes
ZooTube is a full-stack real-time video streaming platform featuring user authentication, video uploads, playlists, likes, and subscriptions. Built using Node.js, Express.js, MongoDB, Cloudinary, and JWT for secure and scalable media sharing.
A real-time messaging app enabling user profiles, rich media sharing, and live message updates powered by Firebase services. Supports 100+ concurrent users with secure authentication, Firestore rules, and a scalable architecture. Built with GetIt for dependency injection and service-oriented structure.
An AI-powered chat application built with Flutter and the BLoC pattern, allowing users to interact with an AI model for text and image generation. Includes real-time user input handling, AI-generated responses, and efficient state management for a smooth experience.
Production-style asynchronous document pipeline using FastAPI + Celery + Next.js. Features multi-file upload, PostgreSQL persistence, background processing with Celery workers, Redis Pub/Sub for real-time progress streaming, and comprehensive job management with review/edit and export capabilities.
Enterprise-grade Kafka pipeline with Avro schema validation using Confluent Schema Registry. Implements FastAPI producer service, Python consumer, and enforces data contracts through centralized schema management for guaranteed producer-consumer compatibility.