B.Tech Computer Science student at IIT Jodhpur (CGPA 9.01/10) with experience across software engineering, quantitative research, and data analysis. On the engineering side: Kafka pipelines cutting rollback latency 60%, CV inference on embedded hardware, distributed simulators modeling P99 tail latency across 100+ scenarios. On the analytical side: quantitative benchmarking, market research, and data-driven recommendations — from scenario analysis of low-latency infrastructure to synthesizing competitor signals into product recommendations.
Undergraduate research at IIT Jodhpur's CSE department progressed to patent-filing stage, from YOLOv8 fine-tuning to backend optimization and faculty presentations across 3+ experimentation cycles.
- 🏆 3rd rank, Inter IIT Tech Meet 14.0 among 23 IITs
- 🎯 Codeforces Specialist (rating 1433)
- 🛠 active contributor to SimRUN and dbworkbench (see pinned repos below)
- 🤝 open source contributor across distributed systems and CV tooling
- 🔍 open to SWE, data analyst, quant research, and ML internship opportunities
pinned below — quick links:
- SimRUN - distributed systems latency simulator (C++, System Design)
- dbworkbench - version-controlled SQL workbench with Kafka rollback engine (PostgreSQL, FastAPI, Redis)
- Peer-Link - decentralized P2P network on raw TCP sockets (Python, Multithreading)
- CV on Rover - real-time gesture recognition and object detection on Raspberry Pi (PyTorch, OpenCV, YOLOv5, MediaPipe)
- Maze Pathfinding Algorithms - DFS / BFS / Dijkstra / A* visualizer (C++, SFML)
- The Hive - collaborative app (Kotlin, JavaScript)
