Where I've
worked.

Machine Learning Engineer II / Prime Video Personalization and Discovery, New York

Prime Video's personalization service assembles the recommendation rows on the home page and storefronts worldwide. I work across the ML models and data pipelines that rank and mix those rows, and I'm a core developer of the agentic AI tooling the team uses to operate them.

Lead Software Engineer / Disruption Studies Group -- DisruptionPy

DisruptionPy is the group's open-source framework for turning raw tokamak experiment data into analysis-ready and ML-ready datasets across five machines. I own its software architecture: the data-access layer, configuration, multiprocessing, and developer tooling.

Machine Learning Engineer, contract / Live Gameplay Team

A brief contract around the NBA Summer League in Las Vegas. I built a demo app for exploring live basketball tournament stats conversationally: ask a question in plain English, get the numbers, realtime graphs, and dashboards back.

Software Engineer II / M365 Security Detections

Four years on the petabyte-scale platform that detects cyber-attacks across all of M365 in near real time. Lead engineer for Microsoft's first mail anomaly detection and for the GPT-based detection assistant.

Machine Learning Engineer / Computer Vision Team

Real-time object detection and instance segmentation on iOS: PyTorch models converted to LibTorch and run on-device through a Swift + AVFoundation capture pipeline.

Software Engineer / OpenShift -- Container Runtimes

Upstream contributions to CRI-O and Libpod, the container runtime and pod manager underneath OpenShift and Kubernetes.