Paul Uhlenkott
Paul Uhlenkott

Full-Stack Engineer

Actively looking · Member since 25 Aug 2026
Message
Location
San Francisco, United States
Desired salary
Unspecified
Work preference
Remote Only / Contract
Experience level
Lead

About

Professional summary

I am a Full-Stack Engineer with more than six years of experience building scalable production web applications, real-time data systems, APIs, and cloud infrastructure. I work across the full development lifecycle, from React and TypeScript user interfaces to Node.js and Python backend services.

I have strong experience designing REST and GraphQL APIs, working with SQL and NoSQL data stores, and building data-driven internal tooling. My work emphasizes system design, performance optimization, maintainability, and reliable production delivery.

I have led distributed agile engineering teams, facilitated standups and sprint planning, and delivered observability platforms for cloud workflows. I enjoy architecting microservices and developer tooling that improve automation, release quality, and operational visibility.

My cloud and infrastructure experience includes AWS serverless services, Terraform, Docker, Kubernetes, GitOps, CI/CD, and observability tooling. I have built and deployed systems that process AWS Step Functions execution data and provide real-time workflow visualizations for SRE teams.

I also bring AI model evaluation and code review experience across JavaScript, Python, SQL, C#, and C++. I evaluate LLM-generated code, infrastructure configurations, and API designs for correctness, security, efficiency, and edge cases, helping improve model training and deployment reliability.

Skills

42 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

AI Model Evaluator — LLM Alignment & Code Review Handshake AI

Evaluated and ranked LLM-generated code for correctness, efficiency, security, and engineering best practices across hundreds of weekly tasks. Applied full-stack engineering expertise in JavaScript, Python, SQL, C#, and C++ to backend, API design, and implementation scenarios.

Reviewed Terraform infrastructure-as-code and AWS integrations, including Lambda and DynamoDB, for correctness and adherence to best practices. Delivered structured feedback for iterative model training, identified complex reasoning edge cases, and collaborated asynchronously with distributed platform teams.

Software Quality Operations Specialist Waymo

Built a SQL-powered training-material generator against a large-scale production database, reducing content creation time from one week to less than one day. Queried and integrated production data through GraphQL APIs to support internal tools and reporting workflows.

Improved autonomous vehicle software fault-detection accuracy by 10% using physics-based testing and data-driven guidelines. Monitored release-quality pipelines with Grafana and SAST/DAST tooling, reviewed approximately 200 bugs per cycle, and created an 85%+ accurate bug-detection methodology adopted by a global DevOps team.

Team Lead / Full-Stack Engineer TimeClimb

Led a five-engineer distributed agile team building an open-source full-stack observability platform for AWS Step Functions. Managed daily standups and sprint planning while architecting React Flow-based visualizations for workflow and agent execution graphs.

Built a React, TypeScript, and Redux Toolkit frontend for real-time AWS data fetching and a serverless observability dashboard used by SRE teams. Developed Python backend services and REST APIs for execution data, then containerized and deployed the platform using Docker and Kubernetes.

Education

Learning history

San Francisco State University

B.S., Computer Science

Bachelor of Science in Computer Science.

This professional hasn’t added portfolio projects yet.

This professional hasn’t listed any services yet.

People also viewed

All talent ›
Jobs Talent AI Tools Salaries
Menu