Jeremiah Lowin is a founder and CEO with 13 years of technology and leadership experience, currently building Prefect—an orchestration platform for resilient data pipelines—from Washington, DC. He blends hands-on backend engineering with startup leadership, having contributed core features and REST APIs to Prefect while also shipping backend work in major open-source projects like Apache Airflow and Zipline. His early technical contributions to Theano/PyTensor show deep familiarity with numerical computing and test automation, reflecting a disciplined approach to correctness and performance. Jeremiah pairs quantitative training (A.B. in Economics and an A.M. in Statistics from Harvard) with practical risk- and product-focused roles in finance and venture settings. He also serves as a strategic advisor and board member across consumer and tech organizations, bringing cross-sector perspective to product and growth decisions. Colleagues describe him as a founder who stays technical—building product-level features himself while scaling an engineering organization.
13 years of coding experience
11 years of employment as a software developer
A.B. Economics, A.B. Economics at Harvard University
A.M. Statistics, A.M. Statistics at Harvard Kenneth C. Griffin Graduate School of Arts and Sciences
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Role in this project:
Back-end Developer
Contributions:110 reviews, 4500 commits, 395 PRs in 5 years 10 months
Contributions summary:Jeremiah primarily worked on enhancing the backend of the Prefect project, as evidenced by the addition of features such as counting flows, flow runs, and task runs, including the implementation of filtering capabilities to query them. These changes were tested extensively, particularly in the context of the Orion API. The user also implemented RESTful APIs, as well as new functions and utilities for database interactions.
Contributions:7 commits, 5 PRs, 12 comments in 2 years 11 months
Contributions summary:Jeremiah focused on enhancing the Zipline library by adding new functionalities related to algorithmic trading. Their contributions included improving data handling by adjusting OHLC values to remove noise, supporting TALib-based transforms for technical analysis, and implementing new order methods within the trading algorithm. Additionally, they addressed a bug related to logging and made improvements in code readability.
algorithmic-tradingziplinequantpython
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