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.

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 a data transformation pipeline combining typed domain modeling with LLM-assisted semantic classification — more details coming soon
• Focus areas: ETL pipelines, domain-driven design, test-driven development

• 13+ years in technology innovation and R&D

• 3 international patents

  (details)

  • Renewable energy
  • Aerospace
  • Batteries

• Multiple national patents

  (details)

  • Training equipment
  • Advanced materials

• Cross-domain materials development

  (details)

  • Design
  • Structural
  • Ceramic
  • Sulfide
  • Battery materials

Python · pytest · SQLAlchemy · dataclasses · LLM APIs (Anthropic, Google)