Projects

Research and engineering across ML, causal inference, poker AI, and trading.

Deep CFR for 5-Card PLO Heads-Up

Reinforcement Learning
Game Theory
Poker AI

Stage 6 of a neural-CFR research arc — porting Deep CFR from HUNL to 5-card PLO heads-up. Composition-dependent encoder, opp-value board cache (99.4% hit rate, 58× steady-state encode speedup), equity-pretrained warm start, and an honest profile of why scaling the action grid is harder than scaling the cards.

Apr 25, 2026

Switchback Experiments on a Simulated Marketplace

Causal Inference
Experimentation
Simulation

Built a two-sided rideshare marketplace, broke per-rider A/B testing on it (208% biased), and recovered the true effect with a switchback design. Worked-through bias-variance tradeoff in window length, cluster-robust SEs, and a power analysis that explains why marketplaces need 6–8 week experiments.

Apr 22, 2026

Crypto Strategy Discovery: Robust BTC & ETH Research

Trading Research
Crypto
Backtesting

A research project that hunts for genuinely profitable, non-overfit BTC/ETH strategies. Frozen 30% out-of-sample holdout, walk-forward parameter selection, deflated Sharpe, parameter-neighborhood robustness, realistic frictions. Returns are easy to fabricate; statistical honesty is hard.

Apr 15, 2026

LEAP Trading Strategy: Leveraged Long-Dated Options Backtest

Trading Research
Options
Backtesting

A research project on whether systematic LEAP (long-dated deep-ITM call) strategies can beat buy-and-hold on a risk-adjusted basis. Self-funded variants, drawdown stability, drip-DCA sweeps over moneyness × tenor, and a real backtest on historical option chain data.

Apr 12, 2026

Deep CFR for Heads-Up No-Limit Hold’em

Reinforcement Learning
Game Theory
Poker AI

A full neural CFR pipeline for HUNL — game logic, feature encoder, V/R/S networks, batched sigma scheduler, exploitability evaluation. 200 iterations × K=10,000 traversals at seed 42, 17.86h wall, no NaN/Inf. Stage 4 of a six-stage research arc culminating in PLO5.

Apr 8, 2026

Polymarket Research Toolkit

Trading Research
Prediction Markets
Backtesting

Research-first scraping + walk-forward backtester for Polymarket. Six strategies, deflated Sharpe ratios, and conservative cost models. Designed to fail loudly when no real edge exists — and it does.

Mar 30, 2026

No-Bust 21st Century Blackjack — Monte Carlo + CDZ⁻ Solver

Simulation
Game Theory

A multi-process Python simulator with a Tkinter GUI for the California card-room variant No Bust 21st Century Blackjack. Built around exact composition-dependent (CDZ⁻) strategy solving plus Numba-JIT’d hand play. Includes the “no-bust comparison” rule, surrender at any decision point, split-aces special handling, DAS, and the buster side bet.

Mar 25, 2026

LSTM-Driven Poker Analytics & Bluff Prediction Platform

LSTM
Deep Learning
Time Series
Poker

Developed an end-to-end machine learning pipeline that extracts, cleans, and feature-engineers over 5.7k real-money hand histories from PokerNow.club. Leveraging advanced feature engineering (bet ratios, decision times, board evaluations with Ace detection, and dynamic positional metrics) and a custom LSTM model with dynamic bucketing, the system predicts bluff versus value betting with a test AUC of 0.77. Hyperparameter tuning, cross-validation, and class balancing were key to optimizing performance.

Mar 8, 2025

Pickleball Vision: CV-Driven Match Analytics

Computer Vision

A computer-vision pipeline that turns a fixed-camera pickleball clip into an annotated video with player tracking, ball tracking, court geometry, top-down minimap, and per-frame analytics — ball speed, player speed/distance, shot count. YOLOv8 + a fine-tuned ResNet50 court keypoint regressor + iterative homography refinement.

Feb 7, 2025

ORB Algorithmic Day-Trading System

Financial Machine Learning
Algorithmic Trading

Opening-Range-Breakout strategy on TQQQ with an XGBoost gating layer that decides whether to take the day’s signal at all. SQL-driven feature pipeline, multi-interval simulation, and a +19.1% annualized return improvement over the unfiltered ORB baseline.

Nov 11, 2024

CNN-Based Age Prediction System

CNN's

Trained a CNN-based age prediction model using PyTorch, the UTK dataset, and a ResNet10 architecture to predict ages with an average error of ±4 years—optimized via hyperparameter tuning and deployed with a Streamlit UI for real-time inference.

Sep 17, 2024

Ethereum Smart Contract for NFT Generation & Minting

Crypto
Algorithmic Art Generation

Designed and deployed an Ethereum smart contract for NFT generation and minting, supporting 10,000+ unique ERC-721 assets with an optimized Python image pipeline, reduced gas fees by 15%, and a user-friendly UI that facilitated over 1,000 transactions.

Dec 15, 2023
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