Paul Uhlenkott

Full-Stack Engineer with 6+ years across the software development lifecycle, building production web applications, real-time data systems, and cloud-deployed services end-to-end. Owns features from architecture through deployment in fast-moving, remote-first teams, with core strengths in React, Node.js/Express, Python, PostgreSQL/MongoDB, and AWS. Leads a 5-engineer open-source team shipping developer tooling for pipeline automation and observability, with hands-on experience integrating AI/LLM capabilities into product workflows.

AI Systems Evaluator & Full-Stack Contributor - Handshake AI

(2024-01)

• Evaluate and rank LLM-generated code for correctness, efficiency, and best practices across hundreds of tasks weekly, applying full-stack engineering judgment (JavaScript, Python, SQL) to backend and API design scenarios.
• Deliver structured technical feedback that informs iterative model training cycles, applying the same rigor as a production code review.
• Sustain consistent output across hundreds of evaluation tasks weekly while collaborating asynchronously across distributed platform teams.

Software Quality Operations Specialist - Waymo

(2020-08 - 2024-08)

• Designed and built a SQL-powered training material generator against a large-scale production database, cutting content creation time from one week to under a day.
• Improved autonomous vehicle software fault-detection accuracy by 10% through physics-based testing methods and data-driven guidelines, deployed cross-functionally across multiple engineering teams.
• Maintained 95% accuracy and 80% precision reviewing ~200 bugs per cycle, delivering structured, actionable feedback across a 100+ person global contractor workforce.
• Designed and deployed an 85%+ accurate bug-detection methodology covering 300+ coding issues, adopted by a global DevOps team to improve release quality and reliability.

B.S. - Computer Science - San Francisco State University (2015 - 2019)