Projects
Search and filter by domain, language, and whether a project has a GitHub, demo, or paper/write-up.
Selective Trust Head — Inference-Time Reliability for LLMs
Ranks LLM answers by trustworthiness using single-forward-pass uncertainty signals (selective prediction).
Fully Local Personal Email RAG System
Privacy-first Retrieval-Augmented Generation system that lets users query personal Gmail data using a fully local LLM with no external APIs or cloud inference.
NFL Kicker Field-Goal Make Probability Model (Ensemble ML)
A calibrated ensemble machine learning system that estimates NFL field-goal make probabilities using play-by-play, weather, and stadium context, designed for real decision support rather than binary prediction.
Blockchain Fraud Detection with Graph & Unsupervised Anomaly Models
Unsupervised fraud detection pipeline for Ethereum transfers that combines graph-based network features with anomaly-scoring models to surface suspicious activity at scale.
Project Performance Insights (PPI)
A Streamlit-based, LLM-powered dashboard for extracting insights, detecting risks, and tracking KPIs across complex project lifecycles using document ingestion and snapshot comparison.
Personal Portfolio Platform — Interactive ML Project Showcase
A custom-built Next.js portfolio platform for showcasing machine learning systems, research projects, and applied engineering work with rich filtering, featured content, and deep project write-ups.
Job Application Assistant & Intelligent Tracker
A smart job application assistant that parses unstructured job descriptions, emails, and application responses into a centralized, searchable system with AI-driven insights.
Crypto Options Price Prediction with Gradient Boosting Trees
Time-series-aware regression model that predicts BTC/ETH option trade prices from Binance data using engineered moneyness features and tuned GradientBoostingRegressor.
LLM-to-SQL Analytics POC with DuckDB
Node.js proof-of-concept that routes natural-language questions to safe, pre-defined SQL analytics functions over a DuckDB-backed dataset, then returns results in natural language using an OpenAI LLM.
Water Rebate Cost-Benefit Analysis with Monte Carlo Risk Modeling
Python cost-benefit and uncertainty analysis comparing high-efficiency toilet (HET) and smart irrigation controller (SIC) rebate programs, producing per-rebate and program-level NPV metrics with Monte Carlo sensitivity modeling.
S&P 500 Index Replication with Neural Networks
Neural network index-tracking pipeline that reconstructs S&P 500 returns using a small subset of constituents, optimizing both tracking error and portfolio efficiency under a reproducible, time-aware evaluation protocol.
Systemic Bias in College Football Playoff Rankings
A simulation-based study of how preseason rankings and perception-driven biases propagate through College Football Playoff rankings, affecting accuracy, volatility, and playoff access.