Jeff Potter
Chief Technology Officer at Enveritas
United States
Summary
👤
Senior🎓
Top SchoolJeff Potter is a seasoned technology leader and CTO with 11+ years building scalable, data-driven systems for mission-driven organizations and high-traffic consumer sites. Currently leading engineering, data, and ML at Y Combinator-backed Enveritas, he designs platforms that gather and analyze hundreds of millions of farmer-level data points to drive social and environmental impact across a dozen countries. His background spans rapid-growth startups and high-stakes operations—from scaling Chill.com to millions of users and directing backend engineering on a presidential campaign to running Food52’s editorial and ecommerce systems. A hands-on engineer as well as an executive, he contributes to open-source ML tooling (notably work on EasyOCR model management) and brings practical experience with AWS, GraphQL, Python, and resilient data architectures. He’s also the author of O’Reilly’s Cooking for Geeks, reflecting an uncommon blend of technical depth, communication skill, and public-facing storytelling.
11 years of coding experience
12 years of employment as a software developer
Undergraduate Computer Science & Visual Arts (Double Concentration A.B.), Undergraduate Computer Science & Visual Arts (Double Concentration A.B.) at Brown University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
ocr10
pytorch10
machine-learning10
model-management10
ocra10
python10
file-handling9
mask-rcnn9
faster-rcnn9
image-processing8
Programming languages (9)
Github contributions (5)
JaidedAI/EasyOCR
Jul 2020 - Jul 2020
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Role in this project:
ML Engineer
ML EngineerContributions:5 commits, 1 PR, 3 comments in 3 days
Contributions summary:Jeff primarily contributed to the core functionality of the EasyOCR library, focusing on model management and configuration. Their commits involved modifying the `Reader` class to include features for managing model storage directories and enabling/disabling model downloads. They also made changes to use Python logging and updated error messages. The user demonstrated an understanding of model loading, file handling, and dependencies.
chinesepythondata-miningcrnneasyocr
jebena/jebena-python-client
Oct 2020 - Oct 2021
Simple Python Client for the Jebena API Server
Contributions:4 releases, 1 review, 37 commits in 11 months
apipythonapi-serverpython-client
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