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Paul Uhlenkott

@pauluhlenkott

Message

I build full-stack cloud applications, observability tools, and reliable AI evaluation systems.

United States

Message

What I'm looking for

I'm looking to build production web applications, cloud-native services, and AI-enabled systems where I can contribute across architecture, implementation, testing, performance, and collaborative engineering delivery.

I'm building TimeClimb, an open-source observability platform for AWS Step Functions with real-time latency heatmaps, custom reports, and interactive workflow and agent execution visualizations.

As team lead and full-stack engineer, I lead a five-engineer Agile team, architected React Flow execution graphs, and built React, TypeScript, Redux/RTK, Python microservices, and REST APIs. I own the stack from architecture through Docker and Kubernetes deployment, with unit and integration tests protecting critical workflows.

At Waymo, I built a SQL-powered training-material generator that reduced content creation from one week to under a day. I also improved autonomous-vehicle fault-detection accuracy by 10% and designed an 85%+ accurate bug-detection methodology covering more than 300 coding issues.

At Handshake AI, I evaluate LLM-generated code across backend, API-design, and system-design scenarios, delivering structured feedback that improves model reasoning and reliability.

Experience

Work history, roles, and key accomplishments

Current

Team Lead / Full-Stack Engineer

Current

TimeClimb

Oct 2024 - Present (1 year 10 months)

Led a 5-engineer agile team building an observability platform for AWS Step Functions. Architected a React Flow visualization platform and built frontend in React with Redux/RTK, Python backend microservices, and containerized deployment.

React TypeScript Redux Python AWS Docker Kubernetes Jest Microservices

Current

AI Model Evaluator

Current

Handshake AI

Jan 2024 - Present (2 years 7 months)

Applied full-stack engineering expertise to evaluate and rank LLM-generated code for correctness, efficiency, and adherence to best practices. Delivered structured feedback on AI outputs, contributing to improvements in model reasoning and reliability.

JavaScript Python SQL Code Review LLM Evaluation Backend Development API Design

Software Quality Operations Specialist

Waymo

Aug 2020 - Aug 2024 (4 years)

Built a SQL-powered training material generator, 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.

SQL Data Analysis Testing Fault Detection Quality Assurance DevOps