Innovative Software Projects & Open Source Contributions

Built an advanced AI system that automatically reviews code, detects potential bugs, and suggests optimizations. Reduced code review time by 70% and improved code quality by 45%. Uses OpenAI GPT-4, Python, and custom ML models.

Created a high-performance analytics platform processing 1M+ events/second with sub-second latency. Features ML-powered anomaly detection and predictive analytics. Built with Apache Kafka, Elasticsearch, and React.

Developed a decentralized supply chain management system using Ethereum smart contracts. Improved transparency by 100% and reduced fraud by 90%. Built with Solidity, Web3.js, React, and Node.js.

Edit PDF files in your browser with blazing fast speed with bit-processing editing.

Dynamic system for BMIIT that increased placement rates by 17% and boosted salary packages by 5-20%. Built with .NET, C#, SQL Server, Azure, and modern frontend technologies.

Advanced system for Nishtha Industries with multi-business unit support, automated tax calculations, and secure data management. Improved accuracy by 40% using Django and AWS.

Python-based GST reconciliation system reducing filing time by 98% with improved accuracy. Features automated reporting using Python, Pandas, and data visualization tools.

Collection of ML projects including House Price Prediction, Breast Cancer Detection, Titanic Survival Prediction, and Crop Classification using Python, Scikit-learn, and various ML techniques.

Developed an AI system for financial market prediction with 85% accuracy. Processes real-time market data and generates trading signals. Built with Python, TensorFlow, and time-series analysis.

Created a comprehensive DevOps platform that automated the entire CI/CD pipeline, reducing deployment time by 90% and errors by 75%. Built with GitHub Actions, Terraform, and custom automation scripts.

Developed an advanced medical imaging system using deep learning for early disease detection. Achieved 96% accuracy in tumor detection using custom CNN architecture. Built with PyTorch, OpenCV, and deployed on AWS SageMaker.

Built a fault-tolerant distributed computing framework implementing Raft consensus algorithm. Handles 10K+ transactions/second with automatic failover. Uses Go, gRPC, and custom consensus protocols.

Created an enterprise-grade NLP pipeline for sentiment analysis and entity extraction. Processes 1M+ documents daily with 94% accuracy. Uses BERT, Transformers, and custom fine-tuning.

Built an advanced time series analysis framework for multi-variate forecasting. Achieves 92% accuracy in complex scenarios. Uses Prophet, LSTM, and custom attention mechanisms.

Created an interactive platform for visualizing and understanding complex algorithms and data structures. Features step-by-step execution and complexity analysis. Built with TypeScript and WebGL.

Engineered a scalable video processing system handling 4K streams with real-time object detection and tracking. Processes 500+ concurrent streams. Uses CUDA, OpenCV, and custom ML models.

Developed an automated security analysis platform detecting vulnerabilities in real-time. Reduced incident response time by 85%. Uses ML for threat detection and custom security protocols.

Implemented a distributed caching system with eventual consistency and conflict resolution. Handles 1M+ operations/second with sub-ms latency. Built with Rust and custom consensus protocol.

Implemented a high-performance API gateway with advanced routing and caching. Handles millions of requests with sub-millisecond latency.

Engineered a platform that automates the migration of monolithic applications to microservices architecture. Reduced migration time by 80% and deployment failures by 60%. Uses Kubernetes, Docker, and custom orchestration tools.

Built a scalable IoT platform handling 100K+ connected devices with real-time data processing and ML-powered insights. Uses AWS Lambda, IoT Core, and React Native for mobile monitoring.

Implemented a custom database engine with B-tree indexing and MVCC support. Achieves 100K+ QPS with sub-millisecond latency. Built in C++ with custom memory management.

Developed a real-time 3D graphics engine with PBR rendering and ray tracing support. Achieves 60+ FPS at 4K resolution with advanced lighting. Uses C++, Vulkan, and CUDA.

Implemented custom network protocols with congestion control and reliability mechanisms. Achieves 99.99% reliability in lossy networks. Built in Rust with async I/O.

Built a modular game engine with ECS architecture, physics simulation, and networking support. Features hot-reloading and cross-platform compatibility. Implemented in C++ with Vulkan and Box2D.

Built an AI-powered tool for automated code migration between programming languages. Achieves 95% accuracy in translations. Uses transformers and custom abstract syntax tree analysis.

Built a scalable IoT platform handling 100K+ connected devices with real-time data processing and ML-powered insights. Uses AWS Lambda, IoT Core, and React Native for mobile monitoring.

Advanced Ecommerce platform featuring comprehensive user management, product inventory, order processing, payment integration, and shipping logistics. Built with React.js, Node.js, Express.js, MongoDB, and integrated with Stripe and Razorpay.

React Native mobile application for QualityZon with seamless backend integration, featuring advanced user management, inventory tracking, and secure payment processing using React Native, Expo, and various payment gateways.

Comprehensive system for BMIIT that streamlined student projects and faculty reviews, reducing administrative time by 50% and enhancing evaluation accuracy by 30%. Built with Laravel, PHP, MySQL.

Robust system for local businesses managing inventory, sales, purchases, and employee data. Built with ADO.NET, C#, SQL Server, and Windows Forms for enhanced efficiency.

Comprehensive job portal managing multiple companies and postings, improving application process efficiency by 50%. Built with Laravel, PHP, MySQL, and modern frontend technologies.

Feature-rich travel platform with tour scheduling, booking processing, and hotel/flight reservations. Built with Next.js, GraphQL, MongoDB, and payment gateway integrations.

React Native app for accurate diamond price calculations, developed with input from 50+ industry experts. Built with React Native, Expo, and custom pricing algorithms.

Built a complete compiler for a custom programming language with LLVM backend. Features type inference, optimization passes, and garbage collection. Implemented in OCaml with LLVM toolchain.

Created a real-time audio processing engine with ML-powered noise reduction and enhancement. Achieves 40dB noise reduction without artifacts. Uses C++, JUCE, and custom DSP algorithms.

Ecommerce website for electronic products featuring Three.js for advanced 3D rendering and animations.

AI-powered chatbot for stock market analysis with real-time UI generation and LangChain integration. Built with Next.js Server Actions and OpenAI API.

Developed an AI agent that masters complex games using deep reinforcement learning. Achieved superhuman performance in multiple environments. Built with PyTorch, OpenAI Gym, and custom DDQN implementation.

Implemented key OS components including scheduler, memory manager, and file system. Features real-time scheduling and custom page replacement algorithms. Built in C with x86 assembly.

Developed a quantum circuit simulator supporting up to 30 qubits with custom gate operations. Features visualization of quantum states and integration with IBM Quantum. Built with Python, Qiskit, and NumPy.

Built an AI-powered drone navigation system with obstacle avoidance and path planning. Achieves 99.9% safety rate in complex environments. Uses ROS, Python, and custom SLAM algorithms.

Created a federated learning framework for training ML models while preserving data privacy. Supports distributed training across 1000+ nodes. Built with PyTorch, Flower, and homomorphic encryption.