I am a Final Year IT Engineering student in Pune, specialized in the intersection of Retrieval-Augmented Generation (RAG) and Knowledge Graphs. My work focuses on solving the "Data Freshness" problem—ensuring LLMs don't just have access to data, but access to accurate, evolving truth.
- 🛠️ Currently architecting Sentinel: An open-source, self-healing knowledge graph system.
- 🎨 Experimenting with 3D Graphics & Computer Vision (Three.js + MediaPipe).
- 🤝 Open-source contributor to Grafana and Frappe ecosystems.
| Category | Tools & Technologies |
|---|---|
| AI Infrastructure | LangChain, RAG, Neo4j (Knowledge Graphs), LLamaIndex, PyTorch |
| Full Stack | React, Next.js, TypeScript, Node.js, FastAPI |
| Data & Cloud | PostgreSQL, MongoDB, Redis, Docker, AWS |
| Experimental | Three.js, MediaPipe (Hand-tracking & 3D Interaction) |
🛡️ Sentinel
Problem: RAG systems suffer from stale data. Solution: A self-healing knowledge graph that monitors data sources and updates graph nodes in real-time. Built to ensure high-fidelity retrieval for enterprise LLM agents.
📊 FinRack
A full-stack financial management platform with a focus on data visualization and predictive analytics.
- The Tech Debt I hate most: "Tutorial clones" that don't solve real problems.
- Current Learning: Advanced Graph Neural Networks (GNNs).
- Offline: Stealth games (Hitman 3), T20 Cricket, and Fitness.
"The best way to predict the future is to build it—then debug it."