I am a final year undergraduate student pursuing B.Tech in Mathematics and Computing at the Rajiv Gandhi Institute of Petroleum Technology, an Institute of National Importance established by the Government of India through an Act of Parliament, akin to the IITs.
I work on Machine Learning and Multi-Objective Optimization, with a particular interest in hypervolume algorithms and deep learning. I enjoy both the research and the engineering behind it.
- Google Summer of Code 2025 - SU2 (Stanford University Unstructured) Foundation
- Mentored by faculty at TU Eindhoven and University of Twente, Netherlands.
- Built a GitHub Actions framework that builds SU2, runs validation cases against NASA turbulence-modeling reference data, and publishes the results to the SU2 website with no manual steps.
- Abstract accepted at the SU2 Conference 2025 (Varenna, Italy) · Code · Report
- An explainable multi-objective optimization approach for efficient EV charging infrastructure planning. IEEE INDISCON 2026 (Accepted)
- Role of Ordering of Points in WFG Algorithm to Compute Hypervolume. ICETCI 2026 (Accepted)
- Analysis of Quick Hypervolume Algorithm. Swarm and Evolutionary Computation, Elsevier, Impact Factor: 9.6 (Under Review)
| Project | Description |
|---|---|
| Hypervolume | Implementations and experiments for WFG and Quick Hypervolume (code behind two papers) |
| EV Charging Optimization | NSGA-II site selection with SHAP-explained surrogate models |
| Second-Life | AI-powered returns grading, fraud detection and resale |
| Event Attendance | Attendance prediction with custom ε-insensitive loss and a ±10pp operational metric |
| Tresury Pulse | Risk-adjusted 30-day cash forecasts that flag shortfalls before they happen. |
| Business Entity Resolution | Multi-source business entity resolution using multi-retriever blocking and cross-encoder reranking |
