Projects
Selected work in quantitative research, machine learning, and research engineering.
Projects shown here are personal, academic, or open-source work.
Statistical Arbitrage Engine
Regime-aware pairs trading research using HMM state detection, OU spreads, and microstructure filters across 2018-2024 backtests.
Quantitative Strategies
Portfolio research covering MPT, risk budgeting, Black-Litterman with shrinkage, and Monte Carlo analysis.
AudioCNN — ResNet Classifier & Visualizer
End-to-end audio classification pipeline with ResNet modeling, layer visualizations, and an interactive inference interface.
Value Finder
Ranking pipeline for extracting high-signal links from noisy sources using retrieval, filtering, and user-feedback loops.
Deep Learning from Scratch
From-scratch implementations of core deep learning components used to study optimization, backpropagation, and model behavior.
NightVision
Low-light image enhancement experiments combining classical preprocessing and deep learning models.
Depression Detection
Baseline NLP study on social text using classical feature engineering and logistic regression.
Personal Lab
Local workspace application integrating notes, tasks, timers, and secure access patterns in a desktop workflow.
Slimlist
Local-first productivity tool focused on lightweight task capture and offline usability.
Stegify
Utility for embedding encrypted messages inside image files.
Bookmarks → Notion
Small data utility for transforming browser bookmarks into a Notion-ready import format.
Zsh Guide
Readable web edition of Peter Stephenson's Zsh Guide with a cleaner browsing experience.

