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Projects

Selected work in quantitative research, machine learning, and research engineering.

Projects shown here are personal, academic, or open-source work.

Statistical Arbitrage Engine

Quant

Regime-aware pairs trading research using HMM state detection, OU spreads, and microstructure filters across 2018-2024 backtests.

Pythonscikit-learnstatsmodelspandas

Quantitative Strategies

Quant

Portfolio research covering MPT, risk budgeting, Black-Litterman with shrinkage, and Monte Carlo analysis.

PythonNumPyta-libMatplotlibpandas

AudioCNN — ResNet Classifier & Visualizer

Full-StackML

End-to-end audio classification pipeline with ResNet modeling, layer visualizations, and an interactive inference interface.

PyTorchFastAPINext.jsAWS

Value Finder

Full-Stack

Ranking pipeline for extracting high-signal links from noisy sources using retrieval, filtering, and user-feedback loops.

FastAPIPlaywrightOllamasklearn

Deep Learning from Scratch

ML

From-scratch implementations of core deep learning components used to study optimization, backpropagation, and model behavior.

PythonNumPyPyTorch

NightVision

ML

Low-light image enhancement experiments combining classical preprocessing and deep learning models.

PythonOpenCVPyTorch

Depression Detection

ML

Baseline NLP study on social text using classical feature engineering and logistic regression.

Pythonscikit-learn

Personal Lab

Full-Stack

Local workspace application integrating notes, tasks, timers, and secure access patterns in a desktop workflow.

Next.jsTypescriptPrismaSQLiteTailwindTauri

Slimlist

Full-Stack

Local-first productivity tool focused on lightweight task capture and offline usability.

Next.jsTypescriptTailwindSQLite

Stegify

Tools

Utility for embedding encrypted messages inside image files.

Python

Bookmarks → Notion

Tools

Small data utility for transforming browser bookmarks into a Notion-ready import format.

Python

Zsh Guide

Tools

Readable web edition of Peter Stephenson's Zsh Guide with a cleaner browsing experience.

Next.jsTypeScript