- Researching graph neural networks, hardware-aware sparse training, and LLM-guided optimization 2 papers: IEEE TENCON 2026 (under review) and LION20 2026, Springer LNCS (accepted)
- Research Intern at University of Vienna (DRL + LLM hybrid solvers for combinatorial optimization) and Samsung PRISM (ML for Linux kernel memory optimization)
- B.Tech Computer Science @ IIIT Naya Raipur, expected 2027
- 5x national hackathon winner · WorldQuant Brain Gold Tier · Kaggle top 7% (Rohlik Orders Forecasting)
- Open to Applied Science / ML Research internships
- Fun fact: 5 hackathon wins and counting still chasing #6
| Category | Technologies |
|---|---|
| Languages | |
| ML / Research | |
| Systems & Infra | |
| Also worked with |
Pin these from your full repo list so they're what a recruiter sees first (see the checklist for how):
- ST-HGAT-DRIO — spatiotemporal graph attention network for retail demand forecasting (5.4M+ records, −24.67% MAPE vs LSTM)
- VRPAGENT Visualizer — metaheuristic solver for 3 vehicle-routing-problem variants
