Computational Biology / Platform Engineering
Scientific systems that survive production.
I build data pipelines, ML workflows, REST APIs, and bioinformatics platforms for drug discovery, multiomics, and high-stakes scientific products.
Current Focus
Biology, ML, and infrastructure in the same room.
The work sits between scientific reasoning and production reliability: molecular modelling, NLP, data contracts, APIs, relational schemas, and operational pipelines.
Featured Projects
Selected work
DASH
Internal LeverageHR
Partner PlatformWhat I Build
Production-grade scientific platforms.
Flask APIs, relational databases, scalable curation scripts, NLP models, multiomics analysis workflows, and molecular simulation tooling with clear handoff boundaries.
Looking For
Senior data science or platform roles.
Best fit: biotech, health-tech, AI drug discovery, precision medicine, or infrastructure teams building for scientific workloads.
Writing
Notes in progress
Building VSE from scientific Python packages
How microbiome score code became a Kubernetes-deployed, algorithm-agnostic inference platform.
Turning scoring releases into developer tools
DASH, compiled CLIs, deploy specs, rollback paths, and Slack-based release operations.