Software engineer · Austin, TX
I build software
with AI.
I’ve been breaking and fixing systems since 2016, from IT support and cybersecurity to data and software.
Nine calls became two
An AI agent needed nine tool calls to draft one small campaign. I rebuilt its tools and ran 595 controlled runs to test the change.
Read the case study →Real traces from my benchmark: same model, same task.
(DeepSeek V4.1 Flash)
up from 87.5%
in sandboxed runs
Some of my work
All 19 projects →How I can help
Build software.
Web apps, internal tools, APIs and integrations.
- Web apps and internal tools
- APIs and integrations
- AI features inside real products
- MCP servers and agent tools
Automate work.
Workflows and scripts that remove repeat tasks. Some of them use AI.
- Scripts and scheduled jobs
- Connecting the tools you already use
- AI steps with a person approving the result
- Tests that catch breakage early
Audit and fix.
I review a system you already have. I find what fails and what costs too much. You get a ranked list of fixes.
- Code and workflow review
- Failures sorted by cause
- Cost and speed breakdown
- Agent and MCP trace review
Technology research.
I compare tools, models or vendors. You get a written recommendation with evidence.
- Tool and vendor comparisons
- Model tests on your own tasks
- Before and after measurements
- A written list of limits
My toolkit
Build
- TypeScriptApps and agents
- PythonML, data, APIs
- ReactInterfaces
- Next.jsFull-stack apps
- FastAPIServices
AI & agents
- MCPTool contracts
- Claude CodeAgent host
- EvalsBenchmarks
- Vision modelsCreative pipelines
- OpenTelemetryLLM tracing
Data & ML
- PostgreSQLProduct data
- DuckDBAnalytics
- AirflowData pipelines
- PyTorchDeep learning
- Boosted treesCatBoost, XGBoost
Ship
- DockerEnvironments
- CloudflareWorkers, D1
- PlaywrightBrowser tests
- VitestContract tests
Experience
My story →
Technical Lead
Building software and AI workflows: product, backend, agent tools, integrations and testing.
Product Manager Intern, Software Engineering
Internal AI tools, reusable workflows, and a 130 person hackathon I organized.
Data Engineer Intern
Data work on the Cybertruck and Model Y: pipelines and quality tools, and helping engineers use AI in practical ways.
B.S. Computer Science
Computer science fundamentals behind the practical work.
Earlier: cybersecurity at Fannie Mae, data science at PFES, software engineering at ProPharma, robotics teaching at Codex, and IT at Planet Pharma. See all
“He ramped quickly, worked independently, and knew when to pull in help.”
Let’s talk
Tell me about the workflow or the idea. I read every message myself.
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