Entity Resolution Lab
A genericized study of clustering and graph-based entity resolution patterns for multi-source identity graphs.
Software engineer · Arlington, VA · DMV
I build systems and investigate how information moves.
I’m a software engineer with experience building scalable data platforms and knowledge graph systems. Lately I’ve been focused on independent work: high-performance systems in C++, quantitative tooling, prediction markets, and automation.
Photo coming soon
Currently
What I’m focused on
Independent engineering with a dual track: systems performance foundations and information-flow research in markets.
- Building Personal site and writing system (this site)
- Building Systems performance lab exercises in modern C++ on Linux
- Building Observation tooling around prediction-market and market data flows
- Learning C++ performance and Linux systems programming
- Learning Low-latency design patterns and measurement methodology
Selected work
Projects
Prediction Markets ↔ Financial Markets
Exploring information flow between prediction markets and traditional financial instruments — signals, lags, and structural differences.
Systems Performance Lab
A personal lab for C++ and Linux performance work: measurement harnesses, microbenchmarks, and low-latency learning notes.
Notes
Selected writing
Measuring systems honestly
Notes on baselines, noise, and the difference between a story and a result when you care about performance.
How information moves in markets
A field guide to thinking about prediction markets, financial markets, and the paths between prices and narratives.
Entity graphs without mythology
What knowledge graphs are good for in production data platforms — and what they are not.
Personal
Off the keyboard
Tennis
Competitive USTA league play and social doubles — discipline, pattern recognition, and recovery under pressure.
Fitness
Training as a long-term practice, not a seasonal project.
Markets & zeitgeist
How prices, narratives, and social graphs move information through the culture.
Contact
Let’s talk
Open to interesting conversations and selective collaborations. Prefer email for thoughtful notes; LinkedIn works for introductions.