| Project / Role | Focus Area | Key Impact |
|---|---|---|
| DRDO (SSPL) Intern | MEMS Sensor Reliability | Developed predictive models to forecast sensor performance. |
| GAIL (India) Ltd. | Industrial Data Science | Built anomaly detection modules and real-time MongoDB pipelines. |
| OSIPI (Open Source) | Medical Imaging AI | Modernized build systems and unit testing for MRI algorithms. |
| SIH 2024 Finalist | Green Energy AI | Top 5 nationwide for AI-driven plastic-to-petrochemical conversion. |
Click to toggle my Skill Stack
- Languages:
Python (Expert),C++,SQL,JavaScript - AI/ML:
PyTorch,TensorFlow,Scikit-learn,LLMs (Gemini, LangChain),RAG - Data Engineering:
FastAPI,Docker,MongoDB,AWS (EC2/S3),Google Cloud Run - Electronics:
Digital Signal Processing (DSP),MEMS,MATLAB
AI-powered RAG pipeline using LangChain & ChromaDB for personalized financial recommendations. Deployed via Docker on Cloud Run. | Bridging Electronics and AI to predict sensor performance characteristics under Scientist ‘F’ at SSPL. |
Multi-agent system using Gemini 1.5 Flash for real-time plant disease detection and market pricing. | Content-based system using TMDB data, Cosine Similarity, and feature engineering on keywords/genres. |
