Projects
Selected engineering and research projects across ADAS, data platforms, scientific computing, and AI-assisted engineering tools.
ADAS Data Platform & Validation Workflows
Data workflows and engineering tools for autonomous-driving validation.
I work on tools and workflows that help organize, inspect, evaluate, and report on ADAS validation data. The goal is to make complex validation workflows more transparent, reproducible, and useful for engineering decision-making.
Focus Areas
- Data organization and inspection
- Validation workflow support
- Evaluation and reporting tools
- Automation of repetitive engineering tasks
- Interfaces between data, software, and domain experts
Scientific Data Analysis & Astrophysics Software
Scientific software and reproducible workflows from my astrophysics research.
My research background involved working with complex scientific datasets, developing analysis scripts and workflows, and communicating results through publications and talks. This experience continues to influence how I think about reproducibility, uncertainty, data quality, and automation.
Focus Areas
- High-energy astrophysics
- X-ray pulsars
- Scientific data analysis
- Reproducible workflows
- Python-based research tooling
AI-assisted Engineering Tools
Experiments in using AI to improve engineering productivity.
I am interested in practical applications of AI tools in day-to-day engineering work, including code assistance, documentation, data exploration, workflow automation, and internal developer tools.
Focus Areas
- AI-assisted coding
- Documentation workflows
- Data inspection helpers
- Automation tools
- Developer productivity
For related academic work and publications, see the Research Archive.