Python developer in career transition, building data transformation pipelines, domain modeling, and AI-assisted systems.
I started studying programming when I realized I could create and iterate far faster by externalizing my thinking into software — instead of relying solely on manual processes and other people's tools.
A deliberate transition, not a leap of faith — chosen consciously at 38, with the trade-offs already understood.
Previously, I spent 13+ years leading technology innovation projects, IP strategy, and applied research — work that trained me to break down complex, ambiguous problems into structured, testable systems. I'm now applying that same discipline to software: deterministic algorithms, structured data modeling, and explainable AI workflows.
- Full-time, intensive study of Python and software engineering
- Building MonsterForge, a data transformation pipeline combining typed domain modeling, LLM-assisted semantic classification, and confidence-gated human review — try it live, or browse the public gallery of real output
- Focus areas: ETL pipelines, domain-driven design, test-driven development
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13+ years in technology innovation and R&D
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3 international patents
(details)
- Renewable energy
- Aerospace
- Batteries
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Multiple national patents
(details)
- Training equipment
- Advanced materials
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Cross-domain materials development
(details)
- Design
- Structural
- Ceramic
- Sulfide
- Battery materials
Python · FastAPI · pytest · dataclasses · Jinja2 · HTML/CSS · Google Gemini API