I help life science teams turn messy data and fragile scripts into robust, scalable tools.
With a background in medicine, biotech, and software engineering, I build systems that make bioinformatics workflows faster, more reliable, and easier to maintain.
I specialize in:
- CLI and pipeline tooling for genomics & proteomics
- Automating research workflows using Go, Python, Shell script, Makefile/justfile and Nextflow
- Designing developer-friendly infrastructure in scientific environments
- Debugging the edge cases no one else wants to touch
- Early-stage biotech startups that need to move fast but can't afford technical debt
- Research labs that want to turn ad-hoc scripts into reusable, documented tools
- Healthtech & precision medicine teams building long-term platforms
- Open-source bioinformatics communities building for the future
- Audit existing pipelines & toolchains to identify bottlenecks
- Advise on architecture, packaging, reproducibility & automation
- Build internal tools, libraries, and custom CLI utilities
- Mentor scientific teams transitioning into software-heavy workflows
I work best in lean, purpose-driven teams - where clarity beats KPIs.
- Gommitizen: A Go-based implementation of Commitizen for automating the generation of conventional commit messages, which helps streamline the release process and maintain a consistent commit history.
- gentr: A tool to execute commands, inspired by entr when files change, implemented in Go. It is designed for automating tasks like re-running tests or restarting services, enhancing the development workflow.
If my tools, writing, or advice helped you - feel free to support me:
Dotfiles: Check out my dotfiles repository for my configuration files and tool setups.
- Bioinformatics Platforms
- Genomics & Metagenomics
- LC-MS-based Proteomics
- AAV Gene Therapy
