AI & Machine Learning Engineer · MS, Northeastern University
I build intelligent systems — agentic AI applications, deep learning models, and end-to-end data science pipelines. Recently graduated with my Master's from Northeastern, and building on real-world ML problems.
NeST-VNN: Visible Neural Networks for Drug Response in Cancer
An interpretable neural network that predicts cancer patient outcomes — survival, recurrence, and drug response — directly from tumor genotype. Instead of a black box, the model's architecture mirrors a hierarchical map of biological systems, so every prediction can be explained at the level of protein assemblies rather than individual genes.
Built: end-to-end PyTorch pipeline — cBioPortal data ingestion → hierarchy-aware model training → prediction with biological annotation → interactive visualization dashboard.
📺 Demo walkthrough · 🎤 Presentation
Languages
ML / Deep Learning
Generative AI
Data & MLOps
| Project | What it does | Stack |
|---|---|---|
| Agentic AI Final Project | End-to-end agentic AI system built as a capstone project | Python, LLM agents |
| Research Paper Assistant | AI-powered tool for navigating and understanding research literature | LangChain, RAG |
| Rekomme AI Shopping Assistant | Intelligent product recommendation engine | Python, LLMs |
| Multimodal PDF QA | Retrieval-augmented generation over multimodal documents | RAG, vector search |
| LLM Quantization Playbook | Practical guide to quantization techniques and their trade-offs | PyTorch, notebooks |
| SEC Filing Analysis | Automated analysis of SEC financial filings using NLP | Python, NLP |
| Project | What it does | Stack |
|---|---|---|
| Tennis Analysis | Sports analytics via object detection and player/ball tracking | YOLO, CNNs |
| Lake Michigan Rainfall Prediction | Multi-day weather forecasting with deep learning | PyTorch, time series |
| Crowd Counting | Density estimation for counting people in images | CNNs, computer vision |
| Neural Networks From Scratch | Ground-up implementation of neural nets in pure Python | NumPy |
| Project | What it does | Stack |
|---|---|---|
| Earthquake Analysis & Prediction | Seismic data analysis and predictive modeling | scikit-learn, Pandas |
| Diabetes Readmission Prediction | Predicting hospital readmissions from clinical data | scikit-learn |
| GAIA Model Evaluation Tool | Benchmarking and evaluation framework for the GAIA dataset | Python, LLM eval |
| Airline Data Analysis | SQL-driven analysis of airline operations data | SQL |
I'm always open to talking about applied ML, agentic systems, and interpretable AI — or new opportunities.