Third-year B.Tech Information Technology student at Dwarkadas J. Sanghvi College of Engineering, Mumbai (CGPA 9.11, Class of 2027).
I build systems where LLMs, vector databases, and real-time data pipelines meet actual production constraints — sub-200ms latency budgets, concurrent request handling, and B2B-scale record volumes. My deepfake detection research (Pyramid-ResNet + GNN over facial landmarks) was accepted for publication.
Outside engineering: hackathons, Indian equity markets, and custom ROM tinkering.
| Competition | Result | Focus |
|---|---|---|
| 🥈 BlackBox 2026 Debuggathon — VJTI | 2nd Place | Resolved production-grade failures without source access, via runtime analysis & log tracing |
| 🏆 AVISHKAAR Season 3 (National) — AITAM | Top 5 / 200+ teams | Scalable MVP under 24-hour pressure |
| 📄 Deepfake Detection Research Paper | Accepted, Feb 2026 | Deep learning paper accepted for presentation |