I'm a third-year AI/ML student who loves building end-to-end applications — from training ML models to deploying full-stack web apps. I'm deeply interested in agentic AI systems, multi-agent architectures, and using technology to solve real-world problems.

• 🎓 Currently studying at University School of Automation and Robotics, GGSIPU
• 🏆 Smart India Hackathon Finals Qualifier (Ministry of Education)
• 🤖 Trained in AI Agent Architecture through IBM SkillsBuild
• 🌱 Currently exploring: LLM applications, RAG pipelines, and agentic systems
• 💬 Ask me about: React, Flask APIs, scikit-learn, or AI agent design

Languages & Web

Frameworks & Libraries

Databases & Tools

Full-stack ML app predicting diabetes likelihood using a trained SVM classifier.
Stack: React · Flask · scikit-learn · Tailwind CSS · Netlify · Render
Dataset: Pima Indians Diabetes (768 samples) · Model Accuracy: ~78%

Web app to track eco-friendly habits and calculate real CO₂, water, and waste savings with gamified features.
Stack: React · Node.js · MongoDB
Built during the AICTE × Salesforce Green Skills Internship

Track your progress across YouTube playlists — mark videos as watched, resume where you left off, and manage your learning queue.
Stack: Next.js 14 · TypeScript · Tailwind CSS · Supabase · YouTube IFrame API · YouTube Data API v3
Features: Auth, per-video progress tracking, playlist syncing, responsive UI

Digital platform for student mental wellness with AI-guided assistance, professional counseling, and peer community connections.
Stack: React · JavaScript

• 🥇 Smart India Hackathon Finals Qualifier — Ministry of Education & Government Partners
• 🤝 Active participant in hackathons and peer-learning workshops
• 📡 Regular attendee of web development and ML industry webinars