Staff Engineer in the Autonomy group designing and implementing data extraction and processing systems to support learned model development and safety-critical vehicle performance evaluation for autonomous vehicles.

Senior Engineer in the Autonomy group working on systems to support behavior prediction in autonomous vehicles. Designed and developed data pipelines and tooling used by engineers across the Autonomy group to evaluate performance of code changes and ML models on the vehicle.

Working on implementation for a research project aiming to gain a semantic understanding of a space through spatial embeddings.

On the UberEats Prediction team. Worked on the training and analysis of new ETD (estimated time to delivery) prediction models that take into account driver supply. Implemented an A/B test to assess regression on key metrics. Improved model accuracy resulting in more accurate ETDs for all Uber Eats users.

Developed an unsupervised machine learning model for record linkage and deduplication in data streams of hundreds of millions of Microsoft devices. Replaced the use of a heuristic-based model with a clustering pipeline to increase accuracy and extensibility and integrated it into the Microsoft software ecosystem.