Backend · ML · Systems | B.Tech IT @ ABV-IIITM Gwalior | Building things I fully understand
I'm a second-year IT undergrad at ABV-IIITM Gwalior. I work across the stack — from backend systems and CLI tooling to deep learning research — and I don't ship what I don't understand.
Currently focused on:
- AI systems & agentic workflows — LLM integration, RAG, MCP
- Backend engineering — distributed systems, real-time communication, API design
- Applied ML research — deep learning for wireless systems (MIMO, channel estimation)
| Project | Stack | What it does |
|---|---|---|
| CodeLink | TypeScript, Node.js, Socket.io, VS Code API, React Native | Human-in-the-loop AI tele-operation system — bridges a local VS Code environment with a mobile client for real-time code review and execution |
| UniNexus | Node.js, Express, MongoDB, Redis, JWT | Scalable university collaboration backend with service-controller architecture, Redis caching, and high-concurrency API handling |
| OllamaTUI | Go, Cobra, Bubble Tea, Lip Gloss, Ollama API | Concurrent terminal interface for local LLM inference — real-time streaming responses, multi-session workflows |
| TerraDetect | Go, Expo, ONNX Runtime, MongoDB | IoT + ML agriculture app — ESP32 sensor data piped into ONNX inference for soil/crop analysis |
| GitMesh | TypeScript | Open source contributor @ Linux Foundation — AI-powered Git collaboration platform, 500+ commits, 100+ stars |
Research Intern — Dept. of Management Studies, ABV-IIITM Gwalior (Dec 2025 – Apr 2026)
Designed and trained deep learning models for MIMO channel estimation and user localization:
- Built CrossNet-MIMO (4.8M params, 2.4 GFLOPs) for joint multi-task optimization
- Trained on 10,000+ samples across varying SNR conditions
- Achieved NMSE 0.47–0.52 and 3–5× error reduction over baselines
Languages
Frameworks & Libraries
Tools & Platforms
Open to internships, research collaborations, and building amazing things.