Welcome!
I'm Aaron — a software engineer and computer science student at the University of Cincinnati. I've interned at Google, Netflix (2x), Intelligible AI, the Chan Zuckerberg Biohub SF, and have conducted research at MIT and Cincinnati Children's Hospital.
I work on making AI agents trustworthy in production: tool-using systems that take real actions, and evals that measure whether they did the right thing. Most recently, I've been learning about ML performance engineering and optimization.
Outside of that, I like keeping up with new research work in LLM reasoning :)
Featured Projects
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LLM Evals for Tabular Data Reasoning I spent my research internship at Intelligible seeing how we could improve LLMs when reasoning over tabular data. Also wrote my first company blog post :P -
Consensus for LLMs a web app leveraging LLM voting for better responses, made at berkeley ai hackathon -
Contextualized.ml a contextualized machine learning toolkit for easy-to-use, understandable ML -
Free Lunch Bot a bot that lets you know when free food is posted on reddit
Research
- Improving Claude Opus from 74% to 100% on Data Science Tasks — Intelligible AI Blog (2026)
- SPPIDER-seq: Sequence-based Partner-aware Predictor of Protein-Protein Interaction Sites — Bioinformatics (2026)
- Contextualized: Heterogeneous Modeling Toolbox — Journal of Open Source Software (2024)
Blog
- 2026-09-05» Tensors all the way down
- 2026-07-07» First Blog Post