Builder.
Founding Member of Technical Staff at a life sciences startup.
I build the infrastructure around intelligent systems: the data, benchmark, and evaluation layers that make them useful.
Professional experience
Early teams, real technical ownership, and work that moves from an ambiguous question to a dependable system.
Life Sciences Startup
Working with frontier AI labs on alignment and safety evaluations, biology, and AI for scientific discovery. I build the product and infrastructure that connects a network of PhD scientists to frontier-model research: expert-authored data and evaluations, quality gates, and delivery.
Stealth-stage AI Company
Worked on proprietary foundational AI focused on the mechanisms that shape model behavior and improve model reasoning.
Earlier
Haystream
Built credit-risk modeling, scoring, and portfolio analysis workflows.Selected public work
Not a project dump. These are the public artifacts that best show how I investigate, build, and evaluate technical systems.
A reproducible interpretability toolkit that tests whether sparse model features carry real, causal structure—not merely compelling explanations.
Reproduced Gemma Scope and SAEBench baselines before extending them.
Found a sparse 5–10 feature circuit that preserves 94–97% of full accuracy.
Recorded every run, seed, hardware choice, and cost—including inconclusive results.
A Python package for scoring video against predicted engagement across five cortical networks, built on Meta FAIR’s TRIBE v2.
Open source
A public trail of reading unfamiliar systems, finding the edge case, and leaving the code better than I found it.
Merged dataset format support, windowed GeoTIFF reads, and correctness fixes across a widely used computer-vision toolkit.
6 merged pull requests02Corrected aggregation behavior in the production workflow engine’s Data Aggregator block.
Merged pull request #238803Merged correctness fixes across GeoPandas, Shapely, Contextily, and PySAL esda: empty-feature handling, clearer geometry errors, tile retry behavior, and robust significance tests.
5 merged pull requestsAbout
I am an early-career engineer already working on difficult AI, infrastructure, and product problems.
My work sits at the seams: research systems that need dependable infrastructure, benchmarks that have to hold up against capable agents, backend platforms that need a thoughtful product surface, and ML pipelines that have to support real decisions.
I'm from Houston, completed a B.S. in Computer Science at The University of Texas at Dallas in May 2026, and now work in Palo Alto.
The best way to reach me is by email or LinkedIn. GitHub has the implementation details.