Building scalable web applications and intelligent systems with modern technologies
Frontend: React.js, Next.js, TypeScript, TailwindCSS
Backend: Node.js, Express.js, Python, Go
Databases: PostgreSQL, MongoDB, Redis, Neo4j
Cloud & DevOps: AWS, Docker, Apache Kafka, Prometheus
AI/ML: PyTorch, TensorFlow, scikit-learn, pandas, NumPy
- Engineered RESTful APIs in Python with optimized query performance and robust error handling
- Implemented JWT authentication and containerized services with Docker for scalable deployment
- Built reusable TypeScript/React components improving code consistency across applications
- Designed MongoDB schemas and optimized database queries for multi-service architecture
Price-Mate | E-commerce Price Tracker
Next.js-powered scraping tool with automated email notifications for price drops and stock changes.
LiveDocs | Real-time Collaborative Editor
Built with Next.js, TypeScript, and Liveblocks for instant document collaboration with authentication and comments.
Tesla Stock Forecasting | ML Prediction Model
LSTM-based stock prediction system with single-step and multi-day forecasting capabilities.
Customer Segmentation Platform | ML Analytics
E-commerce analytics using K-Means clustering and multiple classification models for purchase prediction.
- LeetCode: 800+ problems solved, Global Rank #1467
- GeeksforGeeks: 160+ problems solved, 1 published article
- CodeGen Competition: 2nd place winner
System Design, Distributed Systems, and Microservices Architecture for building enterprise-scale applications.
💡 Open to collaborating on innovative projects and contributing to impactful open-source initiatives