Integrated M.Tech · Computer Science Engineering · Computational & Data Science · VIT Bhopal
Deep Learning · Computer Vision · Graph Neural Networks · MLOps
Published ML researcher (EPICS 2026) and Kaggle Top-100 finisher focused on deep learning systems. Built a real-time multimodal AI care device using PyTorch, OpenCV, and InsightFace, and engineered a production-grade streaming GNN fraud detection engine achieving sub-5ms latency. Seeking a Deep Learning Engineer Internship to develop, train, and deploy novel neural network architectures.
| Project | Stack | Highlight | |
|---|---|---|---|
01 |
NeuroBin — AI Multimodal Care Companion | PyTorch · InsightFace · OpenCV · FastAPI · Transformers | EPICS 2026 Research Paper · Global Health Hackathon Finalist (VIT Bhopal × Johns Hopkins) |
02 |
SketchGNN — Real-Time Mule Fraud Detection | GNNs · Apache Kafka · Apache Flink · RocksDB | Sub-5ms end-to-end scoring latency via probabilistic sketching |
03 |
EUR/USD Predictor — ML Trading System | Scikit-learn · FastAPI · Walk-Forward CV | Soft-voting ensemble · zero data-leakage temporal pipeline |
Deep Learning
Machine Learning
Data & MLOps
Supporting
| Year | Paper | Venue |
|---|---|---|
| 2026 | NeuroBin: AI-Assisted Real-Time Multimodal Cognitive Support System for Dementia Patients | EPICS International Conference |
| 2025 | MedCrypta: Revolutionizing Prescription Management Through Blockchain | FINCON 2025 · NFSU Gandhinagar |
- 🥇 Top 100 Globally — Kaggle: Spaceship Titanic ML Competition · Score: 0.81061 (Feb 2026)
- 🏅 Finalist — Global Health Hackathon, VIT Bhopal × Johns Hopkins University (Feb 2025)
- 📄 Research Presenter — FINCON 2025, International Financial Security & Management Conference (Aug 2025)
- ⭐ Top 3 Technical Contributor — Data Science Club, VIT Bhopal (Jan 2026)


