🚀 Machine Learning & AI Systems Developer
🧠 Graph RAG • Knowledge Graphs • LLM Systems
⚡ Real-time AI systems integrating structured + unstructured data

• 🎓 B.Tech CSE (AI/ML) @ Shiv Nadar University (CGPA: 8.5)
• 🧠 Research Assistant — Graph RAG & Knowledge Graph Systems
• 🤖 Backend AI Intern @ Fealty Technologies
• 🧩 Focused on AI Systems + Scalable Backend + Open Source
• 🎯 Working towards high-impact open-source contributions

• Production-grade Graph RAG system
• Neo4j + GNN + LLM reasoning
• Hybrid retrieval (graph + vector + ranking)
• FastAPI + LangGraph pipeline

• Query oceanographic datasets using natural language
• Combines vector search + structured APIs
• Real-time graph + QA system

• Natural language → database queries
• Qdrant vector DB integration
• Secure structured data access

• Solidity + FastAPI + Next.js
• Smart contract-based banking
• Interactive Web3 UI

🚀 A snapshot of my development consistency, contribution patterns, and open-source activity.

💡 What this shows:

• Consistent contribution patterns over time
• Focus on building and experimenting with real-world systems
• Increasing activity aligned with AI/ML and backend projects

📌 Activity Breakdown:

• Majority of work focused on core development (commits)
• Active involvement in feature building and system design
• Gradually increasing participation in collaboration & contributions

🧠 Currently working towards more open-source contributions, PR reviews, and collaborative development to strengthen real-world impact.

• 🥇 GDG Hackathon Winner
• 🎓 Dean’s List
• 👨‍🏫 Teaching Assistant — Probability & Statistics
• 🔐 Google Cybersecurity Certificate

• 🚀 Contributing to AI + Scientific Computing ecosystems

• 🧠 Exploring:

  • Graph-based AI systems
  • LLM infrastructure
  • Scientific Python ecosystem

• 🎯 Target: Impactful open-source contributions

⭐ Building scalable AI systems • Open to collaboration • Always learning