Areas of expertise

Depth where modeling, systems, and measurement meet.

Capabilities are organized around the problems I solve, not arbitrary proficiency scores.

01

Product ML

Recommendation, ranking, candidate retrieval, personalized discovery, and product scoring.

  • Candidate generation and retrieval
  • Learning-to-rank and product scoring
  • Recommendation and personalized discovery
~12M monthly users reached by personalized decision systems
See personalized product discovery
02

Causal measurement

Experiment design, uplift modeling, holdouts, confidence intervals, and decision-oriented measurement.

  • A/B and factorial experimentation
  • Propensity, uplift, and treatment effects
  • Persistent holdouts and confidence intervals
~US$1M monthly incremental GMV measured against holdout
See causal ML for remarketing
03

Reliable AI systems

Production serving, monitoring, MLOps, and rigorous offline evaluation for ML and applied LLMs.

  • Batch and real-time model serving
  • Monitoring, drift, and experiment tracking
  • LLM evaluation and retrieval metrics
200+ pull requests reviewed across distributed engineering teams
See production ML serving
PythonGoRSQLBigQueryRedisGCPAWSPyTorchTensorFlowLightGBMXGBoostscikit-learnOptuna