Zach Angell
Engineering Manager at Prefect
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolZach Angell is an engineering manager and hands-on machine learning engineer with 7 years of experience blending finance and software to deliver production ML systems and resilient backend services. Based in Boston, he currently leads engineering at Prefect after driving R&D and end-to-end ML deployments for lenders at Fincura, where he reported to the CTO and partnered with product to turn customer needs into Django-backed models. His contributions to the popular Prefect orchestration project include debugging, refactoring, and implementing scheduled-run features that reveal strong API, database, and deployment experience. Zach brings a practitioner’s eye for reliability and testing from earlier QA and client-facing roles in financial services, and he’s comfortable moving models from research into scalable production. He pairs an economics background from Boston College with applied data science training, giving him a pragmatic perspective on risk, metrics, and business impact.
7 years of coding experience
7 years of employment as a software developer
Data Science, Data Science at BloomTechBachelor’s Degree Economics, Bachelor’s Degree Economics at Boston CollegePhysics, Physics at University of Maryland
French
Github Skills (6)
python10
api-design9
sqlalchemy9
testing8
database-design8
database-schema7
Programming languages (7)
Github contributions (5)
PrefectHQ/prefect
May 2019 - Jan 2023
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 releases, 661 reviews, 1834 commits in 3 years 8 months
Contributions summary:Zach's contributions primarily revolved around debugging and refactoring the codebase, focusing on internal functionality. This includes working on the implementation and testing of deployments including the creation and use of internal objects. The user implemented features related to scheduled runs. This demonstrates familiarity with API interactions, database queries, and code structure.
pythondataobservabilityml-opsdataflow
zangell44/ds-hiring-guide
Jun 2019 - Mar 2021
Contributions:7 commits, 6 pushes, 1 branch in 1 year 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.