Currently Studying — ML Systems
Open reading list and learning targets for the next 6–12 months, oriented around training infrastructure, inference serving, evaluation tooling, and the systems craft underneath frontier-model work.
Research
Past research projects and publications, plus the current reading list. I'm an applied / infra engineer rather than a researcher — but I've maintained a running thread of research-flavored work since high school, and the framing keeps showing up in production.
In progress
Past work
Deep-Learning Entity Resolution — BERT Embeddings + MLP
Johns Hopkins University
Python package implementing entity resolution as a two-stage pipeline — BERT embeddings of structured and unstructured tuples, followed by a multilayer perceptron classifier. Built with a JHU professor advisor across 2023.
ADVISOR · JHU CS faculty advisor
Implied–Realized Volatility Gap — Woodrow Wilson Research Fellowship
Johns Hopkins University · Woodrow Wilson Fellowship
$10K research fellowship at Johns Hopkins under Prof. Jonathan H. Wright, investigating the persistent gap between options-implied volatility and subsequently realized volatility in equity markets.
ADVISOR · Prof. Jonathan H. Wright (JHU Economics)
JHU Quantitative Finance Society — Founder & President
Johns Hopkins University · Graduate School of Applied Math & Statistics
Co-founded and led JHU's graduate quant-finance research society as a long-short systematic-trading group with $30K AUM. Built the backtesting engine and led 20+ student researchers including 8 PhD students. WorldQuant Challenge Semi-Finalist.
ADVISOR · Prof. John Miller (JHU Applied Math & Statistics)
SVM Eye-Color Classifier — Curoverse / Veritas Genetics
Curoverse Inc. (acquired by Veritas Genetics) · Harvard I2B2 TranSMART Symposium
Built and published a support-vector-machine classifier predicting eye color from genomic data with 95% accuracy. Presented at the Harvard I2B2 TranSMART Symposium.
Predicting Student College Outcomes — Empower Schools
Empower Schools
Built an SVM classifier predicting student college outcomes with 80% accuracy across 150,000+ students in the Lawrence and Springfield, MA school districts. Presented findings directly to the Empower Schools founder and executive team.