Meta via HCL Technologies
ML Infrastructure Engineer
Built Sherlock, an AI assistant that resolves ML-infrastructure questions on its own, plus the monitoring and tooling that keep model training and deployment running.
Software engineer working on the infrastructure behind machine learning. Recently at Meta; now at Stony Brook for a master's in computer science.
ML Infrastructure Engineer
Built Sherlock, an AI assistant that resolves ML-infrastructure questions on its own, plus the monitoring and tooling that keep model training and deployment running.
Software & Data Engineer
Built the pipelines that validate and route telecom pricing data into analytics, and refactored a legacy codebase with logging, observability, and tests.
Software Development Engineer
Operated production microservices and led a high-traffic service's migration to AWS.
Data Science Fellow
Extended the Financial Times police complaints study with statistical models in R.
An AI assistant built at Meta that answers engineers' ML-infrastructure questions, trained on internal forum data.
A model that ranks how well-made a written argument is.
Watch distributed systems agree, disagree, and recover from failures.
A 32-bit five-stage CPU with caches, built from scratch.
Replacing attention with a frequency-based prior in image generation models.
An LSTM that forecasts stock prices from historical data.
Race and gender patterns in police complaints across NYC, Chicago, and Philadelphia, at Microsoft Research.
Catching rare fraudulent transactions in an imbalanced dataset with XGBoost and SMOTE.
M.S. Computer Science
B.S. Computer Science & Mathematics
GPA 3.93 · President's Scholar