Software & ADAS Engineer

Building data platforms and validation workflows for autonomous driving.

I build data platforms, validation workflows, and engineering tools for autonomous driving systems. Previously, I worked as an astrophysicist, developing scientific software and data-analysis pipelines for high-energy astrophysics.

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Current Focus

My work sits at the intersection of autonomous driving, data-intensive engineering, and scientific computing. I enjoy turning messy, complex data workflows into reliable tools that help engineers move faster.

  • ADAS validation workflows
  • Data platforms for autonomous driving
  • Python-based engineering tools
  • Data analysis and automation
  • AI-assisted software development
  • Scientific computing applied to engineering problems

Selected Work

ADAS Data Platform & Validation Workflows

Engineering workflows for organizing, inspecting, and evaluating autonomous-driving validation data.

I work on data-driven tools and workflows that support ADAS validation, including data organization, inspection, evaluation, reporting, and automation. The focus is on making complex validation data easier to access, understand, and use in engineering decisions.

ADASData PlatformValidationPythonAutomation

Scientific Data Analysis Tools

Software and analysis workflows developed during my astrophysics research.

Before moving into ADAS engineering, I worked on scientific software and reproducible data-analysis workflows for high-energy astrophysics. This background shaped how I approach data quality, uncertainty, automation, and reproducibility in engineering systems.

PythonScientific ComputingData AnalysisReproducibilityAstrophysics

AI-assisted Engineering Experiments

Small tools and experiments around AI-assisted engineering productivity.

I am interested in using AI tools to improve engineering workflows, including code assistance, documentation, data inspection, and automation of repetitive development tasks.

AI ToolsLLMsPythonDeveloper ProductivityAutomation

Engineering Approach

I like building practical tools for complex technical domains. My background in astrophysics trained me to work with noisy data, uncertain systems, and long feedback loops. In software and ADAS engineering, I apply the same mindset to build reliable data workflows, validation tools, and engineering platforms.

Notes

I write about software engineering, data platforms, ADAS validation, AI-assisted development, and lessons from scientific computing.

No dated notes are published yet. The Notes page collects planned topics and future write-ups.

Research Archive

My previous research focused on high-energy astrophysics, X-ray pulsars, and scientific data analysis. I keep my research background, publications, and academic work archived here.

View Research Archive