Experience
Six roles since 2020, from network security at MIT to medical imaging at Epsilon.
2026 – nowSan Francisco
Epsilon Health
Founding Researcher
- Founding member of the research team behind an AI-native radiology practice.
- Training and serving the imaging and report-generation models used by Epsilon's radiologists.
- Published research on model explainability, X-ray preprocessing, and how image tokens come to represent clinical findings.
2023 – 2026Menlo Park
Meta
Senior Machine Learning Engineer, Area Lead
- Area lead in Facebook Monetization. Started and shipped ML projects that reached billions of users.
- First author on causal-informed online optimization for ad-load personalization, published at a NeurIPS 2025 workshop.
2023
Solesca
Machine Learning Engineer (part-time)
- Trained a sentiment model to predict community response to proposed solar projects, fed by a pipeline that scraped town-hall notes and news.
- Fine-tuned GPT-2 to summarize renewable-energy articles, and built a geospatial graph network to predict a project's effect on incident light.
Summer 2022
Meta
Software Engineering Intern
- Designed a framework that detects user-identifying information in ML training data, and automated privacy checks for model deployment.
- Integrated a feature-engineering framework into the serving platform. Earned a return offer.
2021 – 2022
REX Real Estate
Software Engineering Intern
- Built AWS EMR and S3 data infrastructure with Terraform, plus Ranger access control for Hive.
- Wrote Airflow pipelines that moved terabytes of data to Salesforce through Kafka.
2020 – 2021
MIT IS&T
Cybersecurity Intern
- Built a Django REST API for DHCP and ARP network data, and a 3D view of over 10,000 intrusion alerts an hour.
- Wrote parsers that organized more than 30 TB of security data.