🎓 Computer Science student at IIIT Bhagalpur (2023–2027)
🔭 Currently building JEEArchive — A comprehensive mock test platform with advanced analytics and performance tracking
👯 Successfully built JEEArchiveMaterial — serving 80000+ students with organized study resources
💼 Freelance Developer — Built Trade Journal Web App, a production-ready platform for traders to track and analyze their performance with real-time data visualization, automated P&L calculations, and scalable architecture supporting multiple user tiers
🤝 Completed Full Stack Internship at Lawyal Tech, enhancing product tour flows and scoring systems
🏆 2nd place winner in OPCODE open-source competition among 300+ participants
💬 Let's talk about:
- Full Stack Development (React, Next.js, Node.js)
- MongoDB, PostgreSQL, REST APIs
- Performance optimization and scalable architecture
- Financial trading applications and data visualization
⚡ Fun fact: I build platforms that help thousands of students achieve their dreams AND help traders optimize their financial performance! 🚀
Contact: [email protected]
Production-ready fintech platform for traders with real-time analytics and portfolio management.
- Tech Stack: React.js, Node.js, MongoDB
- Impact: Successfully monetized premium solution
- → Frontend Repository
- → Backend Repository
Full-stack mock test platform for JEE aspirants with performance tracking.
- Tech Stack: Next.js, Node.js, MongoDB
- Features: Authentication, analytics, leaderboard, rank prediction
Educational resource platform serving 80000+ users with organized study materials.
- Tech Stack: HTML, CSS, JavaScript
- → GitHub Repository
- Currently developing Trade Journal Web App, a production-ready fintech platform for traders
- Building scalable microservices architecture to support 1000+ concurrent users
- Implementing real-time data visualization and automated P&L calculations
- Focus: Creating a comprehensive trading analytics and portfolio management solution
- Built interactive product tour flows in Next.js
- Developed scoring & validation logic for training modules
- Created scalable Node.js APIs with performance optimization
- Achievement: Reduced load time by 25% with lazy loading implementation