Founder And Technical Consultant at Mitchell Technology Consulting
San Francisco, California, United States
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Summary
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Rockstar
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Curtis Mitchell is a Tech Strategist and software engineer with 12 years of experience building privacy-conscious ML systems and full‑stack web applications across startups, open-source communities, and government research labs. He blends hands‑on engineering—from TypeScript frontends and SQL/Postgres backends to PyTorch models and CI/CD—with privacy expertise in differential privacy, federated learning, and secure multiparty computation. Notable work includes leading privacy-preserving data joins for national statistical agencies, earning an innovator award at NASA for a federated learning concept, and rescuing a customer‑facing screenshot feature from <20% to ~99% reliability at Mode. An active OpenMined contributor, he focuses on test automation and documentation for PySyft to enable ML on remote private data, reflecting a rare mix of product delivery, research collaboration, and community stewardship. Based in San Francisco, he also runs a consulting practice helping organizations operationalize privacy and AI strategies.
12 years of coding experience
11 years of employment as a software developer
web development, JavaScript, web development, JavaScript at Hack Reactor
Bachelor's degree, Physics (BS), Mathematics (BA), Bachelor's degree, Physics (BS), Mathematics (BA) at University of North Texas
Machine Learning Engineering Career Track, Machine Learning Engineering Career Track at Springboard
Perform data science on data that remains in someone else's server
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:12 reviews, 15 commits, 6 PRs in 1 year 10 months
Contributions summary:Curtis primarily focused on fixing documentation and improving the testing infrastructure within the project. They addressed darglint issues, ensuring proper documentation of code through docstrings in multiple files, including those related to gamma, tensor and phi tensors. Additionally, the user made modifications to the `dev_tools.sh` script, to improve the search for PostgreSQL ports, which potentially suggests debugging and operational concerns for testing. Their contributions are crucial for maintaining code quality and ensuring the project's long-term maintainability through robust testing practices.
A library for answering questions using data you cannot see
Contributions:86 pushes, 11 branches in 1 year 10 months
python2pythonansweringpython3
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Curtis Mitchell - Founder And Technical Consultant at Mitchell Technology Consulting