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.
Broadly, I'm interested in the engineering challenges behind building reliable AI agents, from agent loops and tool orchestration to the distributed systems required to run them reliably. I also enjoy building evaluation harnesses that expose failure modes in models and agents.
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
- 2026-07-07» First Blog Post