Notes
Notes on software engineering, ADAS validation, data platforms, AI-assisted development, and scientific computing.
This section collects technical notes, project write-ups, and reflections from my work across research and engineering.
No dated notes are published yet. Planned topics include:
- From Astrophysics to Autonomous Driving
- How I Think About ADAS Validation Data Platforms
- Lessons from Scientific Software Engineering
- Building Internal Tools for Engineering Teams
- AI-assisted Workflows for Software Engineers
Software Engineering
Topics around Python-based tools, backend workflows, automation, internal tools, and maintainable engineering systems.
ADAS & Autonomous Driving
Notes on validation workflows, autonomous-driving data, scenario evaluation, reporting, and engineering feedback loops.
Data Platforms
Writing about data organization, inspection, reproducibility, and platform thinking for data-intensive technical domains.
AI-assisted Development
Experiments and reflections on using LLMs and related tools for code assistance, documentation, automation, and developer productivity.
Scientific Computing
Lessons from astrophysics software, reproducible analysis, data quality, uncertainty, and long-running research workflows.
Career Notes
Reflections on applying a research and scientific-computing background to software and ADAS engineering.