Ask who I am, what is in this portfolio, how projects connect, or what evidence backs any claim. I pull from the site docs.
Drew Boynton
Software/ML Engineer
I build production-focused ML and data products end to end, from feature pipelines and model inference to APIs, frontend delivery, and automated monitoring.
Python
TypeScript
Next.js
React
Supabase
BigQuery
Gemini
Tailwind
Selected Work
Flagship Systems
End-to-end systems with measurable outcomes, live interfaces, and automated data pipelines.
Sports Edge: Multi-League Sports Modeling 🏈
Production ops dashboard with graded predictions, data-quality monitoring, and fail-closed sportsbook price checks. BigQuery warehouse, Cloud Run serving, GitHub Actions pipelines. Covers NBA, NFL, MLB, PGA, CBB, and World Cup modeling workflows.
- -Public ops dashboard with graded predictions and data quality monitoring
- -BigQuery warehouse + Supabase serving + Cloud Run APIs
- -Daily automated pipelines across NBA, NFL, MLB, PGA, CBB, World Cup
PythonScikit-learnLightGBMSupabaseNext.jsSports Analytics
Public graded predictions board and data-quality page — click the laptop for pipelines or open the ops dashboard.
LLM Advisor: Paper-Trading Ops Dashboard 🤖
Paper-trading ops dashboard with live decision ledger, win-rate tracking, and LLM veto logs (OpenAI gpt-5.4-nano). LLM adds context and adjusts thresholds; rules keep control. Alpaca paper account, Supabase telemetry, real-time heartbeat monitoring.
- -Live ops dashboard with decision ledger and LLM veto logs
- -Paper equity, win rate, and trade outcomes tracked in real-time
- -LLM adjusts thresholds; rules enforce risk limits
PythonOpenAI APIAlpacaPandasBacktesting
Live paper-trading dashboard with decision ledger and LLM veto logs — click the laptop for the deep dive.
MatchPoint: AI Job Matcher 🎯
AI job matcher: daily ingestion from 70 Greenhouse boards, two-stage embedding + LLM matching against your resume.
- -5,867 live jobs corpus refreshed daily
- -8-dimension LLM fit scoring with grounded highlights
- -Sub-10ms vector search via precomputed embedding matrix
React 19FastAPIOpenAITursoSupabaseVercel
Click the laptop for architecture and matching details, or try the live app.
NBA Hall of Fame Predictor 🏀
Interactive machine learning model that estimates NBA players' Hall of Fame chances from career production, peak impact, longevity, and award history. Features real-time player lookup and detailed prediction analysis using XGBoost trained on 5,250+ players since 1976. Try entering any NBA player name!
- -5,250+ historical player careers
- -Interactive probability search for any player
- -Feature-level model reasoning on each prediction
PythonXGBoostNext.jsTypeScriptBasketball Analytics
Search from 5,250+ NBA players • Click the screen above to see behind-the-scenes
My Personal Portfolio Website
What started as a portfolio site grew into its own project - TypeScript and Next.js up front, Supabase and BigQuery underneath. Flagship projects use stats-screen laptop displays and link out to live ops dashboards; includes a Gemini-powered chatbot (Vertex AI, RAG over this site's content).
TypeScriptNext.jsReactTailwindSupabaseBigQueryGemini / Vertex AIRAG
Additional Projects
Smaller builds and experiments that highlight breadth across data science, frontend, and algorithmic thinking.
Mancala AI with Game Theory (Try to beat the AI!)
Intelligent Mancala game implementing minimax algorithm with alpha-beta pruning optimization. The AI evaluates game states 5 moves ahead, achieving 70-80% win rate against random opponents with 10x performance improvement through pruning. Features Monte Carlo simulation analysis for strategic validation.
Minimax AlgorithmAlpha-Beta PruningGame Theory
Advanced Data Cluster Sorting
Project for my Advanced Data Science class. This project was a individual effort to sort data into clusters based on their similarity. We used a variety of data structures and algorithms to achieve this.
PythonPandasGaussian Mixture Models
CU Boulder Police Department Heatmap
A simple heatmap of the CU Boulder Police Department data and its most common location occurrences.
ReactNext.jsTypeScriptTailwind CSS
Simple Fitness (Tracking App!)
A native iOS app for tracking strength training and cardio workouts. Built with Swift and CoreData, this was a fun introduction to iOS development and its ecosystem compatibility. This was more a fun project just to learn more about iOS development and its language capabilities.
XcodeSwiftCoreData
