Evan Albright
Software Engineering & ML Leader
Building production systems across healthcare and applied AI. Exploring consequential problems to found or co-found a company; open to EIR and embedded technical-leadership roles.
Education
2018–2020Master’s in Data Science, University of Massachusetts Amherst
2010–2014Bachelor’s in Computer Science, Carleton College
Experience
2026–Current
Venture Exploration & Embedded Technical Leadership at Independent
- Researching payment integrity, case readiness, fragmented clinical and operational data, and where applied AI can improve high-stakes work without obscuring ownership or failure.
- Advising and embedding with teams that need hands-on technical direction and production delivery.
2023–2026
Machine Learning Engineer at Meta
- Built model-training, personalization, and failure-analysis systems for a neural-input wristband across gesture, handwriting, and language-model workflows.
- Automated model release, reducing roughly two weeks of intensive engineering work to a few days of light supervision.
2021–2023
Principal Software Engineer at Zus Health
- Led a 14-person engineering and product team from pre-Series A through growth-stage delivery.
- Built patient matching, record reconciliation, terminology normalization, and search infrastructure unifying millions of records from thousands of healthcare sources.
- Shipped a real-time Master Patient Index with a sub-500 ms 99th-percentile service-level objective.
2019–2021
Data Scientist & Machine Learning Engineer at Omada Health
- Built model-development and deployment infrastructure for more than ten data scientists, enabling models to reach production in weeks.
- Trained a weight-quality model that reduced classification errors from 3% to 0.3%, protecting revenue for the company’s primary service.
2016–2018
Member of Technical Staff at Salesforce Einstein AI
- Built APIs for training and serving computer-vision and language models, and co-invented a patented system for generating augmented neural-network training datasets (US10346721B2).
2014–2016
Nuclear Science & Engineering, Computer Scientist at TerraPower
- Built reactor lifecycle simulation software used to evaluate next-generation nuclear reactor designs with faster, reproducible iteration.