~/resume

AI + finance engineer with experience building production ML systems for signal generation, risk management, and fraud detection. Comfortable across the full stack — from data pipelines and model training to serving infrastructure and monitoring.

Experience

Senior ML Engineer · Quant Research Group

2023 — Present
  • Built and shipped production ML pipelines for signal generation and risk modeling.
  • Designed a point-in-time feature store to eliminate lookahead bias across the quant research team.
  • Led migration of legacy backtesting infrastructure to an event-driven architecture.

ML Engineer · Fintech Startup

2020 — 2023
  • Owned end-to-end lifecycle of fraud detection models, from data pipeline to real-time inference.
  • Reduced false-positive rate by 34% while maintaining recall through improved feature engineering.
  • Built internal tooling for model monitoring and drift detection.

Skills

PythonPyTorchLangChainSQLTypeScriptReactFastAPIKafkaAWSDocker

Education

B.S. Computer Science

Placeholder University