Public Technical Notes
Writing
Public writing lanes that connect technical work, research background, applied AI practice, and professional positioning.
Active portfolio lane
Technical Field Notes On AI Systems
Short-form writing about model contracts, failure modes, evaluation boundaries, and practical data science and AI/ML workflows.
- Computer vision contract posts.
- NLP, ML, and LLM/RAG case-study directions.
- Operational AI Field Notes repository.
Published writing lane
Research-To-Industry Mapping
Posts that translate applied physics, computational biology, and postdoctoral LLM/RAG work into data science, AI/ML, research engineering, and software role signals.
- Applied physics to data roles.
- LNCC LLM/RAG postdoctoral work.
- LinkedIn profile summary archive.
Conceptual lane
Narrative AI And Systems Thinking
Public reflections about narrative, systems thinking, semiotics, and AI as a bridge toward Formless Solutions.
- Narrative AI public posts.
- Formless Solutions project log.
- Systems-thinking essays.
Supporting lane
Secure AI Workflow Practice
Writing about secure development habits, isolated environments, and practical risk awareness around AI tools.
- VM isolation and AI-tool safety posts.
- Docker-based reproducibility in public projects.
Writing Focus
The writing track translates technical work into clear professional evidence: what problem was addressed, what artifact was built, which metric or contract matters, and what the result does or does not prove.
This supports recruiters, technical peers, collaborators, and potential clients who need to understand both the engineering work and the decision logic behind it.