Summary
Machine Learning Engineer with 10+ years scaling production recommender systems at consumer marketplaces and streaming services. RecSys 2024 author. Focus areas: candidate generation, sequence models, and aligning offline and online evaluation metrics.
Experience
Machine Learning Engineer
StubHub · New York, NY · April 2024 – Present
- Recommendations and personalization in Python and C#
- Increase engagement by 5% using a two-tower retrieval model implemented in Pytorch
- Improve website recommendations through innovations in candidate generation and model architecture, eg GRU4Rec
- Accelerate model improvement research via a Claude command to evaluate model improvements offline
- Increase conversion by 2% with a KNN-based dynamic event search radius model
Machine Learning Engineer
Warner Brothers Discovery · New York, NY · November 2020 – March 2024
- Responsible for scaling and innovation of recommender systems and personalization for Max and HBO Max
- Scale personalization algorithms to tens of millions of users using Airflow, Docker, and Spark
- Increase user engagement of personalized recommendations tray using EASE model and XGBoost ensemble
- Move from offline to online scoring using custom Tensorflow Serving implementation
Machine Learning Engineer
FindMine · New York, NY · May 2019 – November 2020
- Increase click through rate by 3% using ε-greedy bandit
- Use deep learning to identify similar styles based on images
- Reduce costs by $50K/year by automatically replacing out of stock items in expert-curated fashion outfits
- Save $60K/year in cloud computing costs by shifting computation from database to Python layer
- Write a Flask app to collect quantitative fashion ratings from subject matter experts
Publications
Education
- M.S. Statistics, Stanford University
- B.A. Mathematics, Clark University, Worcester, MA
Programming Skills
- AI Tools: Claude Code, ChatGPT
- Advanced Python (numpy, scipy, pandas, scikit-learn, pytest, tensorflow, keras, pytorch, Airflow, PySpark)
- Advanced SQL
- Basic Golang, C#, and Scala
- Proficient with git, docker, AWS (Sagemaker, EMR), and bash
