Engineer · Researcher · Problem-Solver

I find problems
worth solving
and build teams
to solve them.

Kevin Williams — software engineer and AI researcher at NASA. I don't start with a technology. I start with a problem that matters.

01 — Why I Do This

Conviction First, Technology Second

Every project starts the same way. I see something broken, something hurting people, and I can't look away. The tools change. The reason never does.

01
An opioid crisis destroying communities

Building a Case for Safer Alternatives

I watched oxycontin tear through communities. When I got the chance to research at Michigan, I chose electrochemical THC detection — not because biosensing was trendy, but to build the scientific foundation for cannabis as a testable alternative to opioids. Give people a safer option and give society the tools to manage it.

Published Research0.13 μM LOD
02
AI repeating social media's mistakes

Making AI a Net Positive for Humanity

Social media promised connection and optimized for addiction instead. I see AI at the same crossroads. That's why I moved into AI safety and certification at NASA — not to slow AI down, but to build frameworks that make AI on a spacecraft carrying humans actually earn the trust we place in it.

NASA Silver Bear AwardNPR 7150.2D
03
Legacy systems slowing human spaceflight

Replacing Bureaucratic Friction with Real Tools

At NASA, teams wrestled with SharePoint workflows never designed for spaceflight complexity. Data was scattered, processes were manual. So I built Cortex — not because I love enterprise software, but because people doing the hardest work in aerospace deserved better tools.

Cortex Platform~20 hrs/wk Saved
02 — The Work

Problems I've Tackled

Spaceflight ops bottleneck
Cortex Platform
Django-based enterprise platform with EAV architecture replacing scattered SharePoint workflows for NASA human spaceflight ops. Non-technical users define custom data structures; automated pipelines turn unstructured inputs into validated data.
DjangoPythonEAVFlutter
No safety standards for AI in space
AI Certification Framework
First-generation certification framework for AI on human-rated spacecraft. Addresses bias detection, continuous validation, hallucination prevention, and human-AI teaming. Guiding AI deployment across Artemis mission elements.
AI SafetyNPR 7150.2DV&VGovernance
Astronaut monitoring vs. privacy
Cognitive Twin System
Privacy-preserving cognitive readiness prediction for astronaut monitoring. Implemented differential privacy and defended against membership inference attacks. Monitoring health shouldn't mean sacrificing privacy.
MLDifferential PrivacyBiosignals
Opioid crisis needed alternatives
Electrochemical THC Detection
Published research on Δ9-THC detection achieving 0.13 μM LOD — third-lowest among comparable devices. Built to support responsible cannabis legalization as an opioid alternative.
ResearchElectrochemistryPublication
90% of inspection time was manual
Deep Learning Quality System
At Ford, deployed deep learning for automated quality decisions in eMotor manufacturing. Reduced manual inspection by ~90%. AI frees people to do higher-value work.
Deep LearningManufacturingFord
03 — The Path

How I Got Here

Kevin at NASA Johnson Space Center
M.S. Artificial Intelligence
University of Michigan
Expected May 2026
B.S. Mechanical Engineering
University of Michigan
2021
2025 — Present
Software Engineer
Barrios Technology → NASA JSC
Architecting Cortex, building intelligent automation pipelines and cross-platform applications for human spaceflight operations.
2023 — 2025
AI System Engineer, Human Space Flight
NASA Johnson Space Center
Pioneered AI certification frameworks for human-rated spacecraft. Requirements traceability and governance for Artemis and commercial crew.
2022 — 2023
Engineering Specialist
Ford Motor Company
Led 20-person eMotor materials lab. Deep learning for automated quality, cutting manual inspection ~90%. Technical Excellence Award.
2012 — 2017
Materials & Chemical Technician
Hyundai-Kia · GM · Quaker Chemicals
Where it started. Metallurgical analysis, quality testing, built GM's Flint Engine met lab from scratch.
04 — Toolkit

What I Bring to the Table

Software & Systems
Python / DjangoJavaScript / FlutterSQL / PostgreSQLREST APIs / AWSGit
AI & ML
PyTorch / TensorFlowLLMs / RAG / TransformersDifferential PrivacyAI Safety & CertificationLangChain / Vector DBs
Engineering
NASA Systems EngineeringRequirements TraceabilityMBSE / V&V LifecycleBlack Belt Six SigmaCross-functional Lead
06 — Contact

Let's Work Together

Open to conversations about meaningful work in AI, space systems, or anything in between.