Projects

Selected engineering and applied machine learning projects spanning retrieval systems, geospatial modeling, and full-stack AI deployment.

GenreBlender

Generative AI Music Mixer & Classifier

  • Built a generative AI system that blends two music genres using a controllable slider (α ∈ [0,1]) and generates hybrid audio with Meta’s MusicGen.
  • Designed a clean ML pipeline on the GTZAN dataset, including feature selection, scaling, label encoding, and reproducible preprocessing for inference.
  • Trained a 4-layer PyTorch MLP (92% validation accuracy) using scikit-learn’s GroupShuffleSplit to prevent data leakage and predict genre probabilities from audio features.
  • Developed a measurable genre-blending framework by comparing predicted probabilities against a weighted target distribution to quantify how well the blend worked via Target = (α·A) + (1−α)·B.
  • Built and deployed an interactive Streamlit web application enabling real-time genre blending, probabilistic evaluation, and 10-second AI-generated audio output.

PocketRAG

Retrieval-Augmented Generation System

  • Built a lightweight RAG web application enabling instant PDF summarization and document-based question answering.
  • Implemented semantic search using FAISS vector indexing with embedding-based chunk retrieval.
  • Integrated Gemini API for context-aware generation with dynamic prompt construction.
  • Designed clean frontend UI for real-time query-response streaming and document upload.

Telematics UBI Prototype

Usage-Based Insurance Modeling Platform

  • Developed a full-stack usage-based insurance system for telematics risk scoring and driver behavior analysis.
  • Built XGBoost-based risk prediction models trained on telematics driving data with engineered behavioral features.
  • Implemented FastAPI backend for model serving and REST endpoints with secure AWS deployment.
  • Designed React frontend dashboard visualizing driver risk scores and prediction outputs.

This Website!

Personal Portfolio

  • Designed and deployed a responsive personal portfolio website using Next.js, Tailwind CSS, and TypeScript to showcase my work in AI/ML
  • Implemented GitHub-based CI/CD with Vercel for automated build and deployment on every commit.
  • Leveraged modern React architecture (App Router) and optimized performance using built-in Next.js font and asset optimization features