I am a bioinformatics engineer with 3+ years of experience engineering and delivering scientific computing and bioinformatics workflows.
I clarify the boundaries between domain requirements, technical implementation, and data contracts, turning implicit workflow conventions into maintainable, verifiable systems. For each task, I make inputs, execution paths, output contracts, checks, and failure boundaries explicit so results can move reliably from intermediate computation to final delivery.
Codex is part of this engineering process: task context and change boundaries are defined explicitly; candidate implementations are compared and accepted through tests, logs, artifact inspection, and domain judgment.
Scientific data and provenance — biofetch retrieves and locks biological database snapshots; bioextract exposes them through stable, provenance-aware relations; seqevi provides content-addressed protein annotation evidence.
Delivery infrastructure — neatxlsx and docxrender provide reusable output layers for analytical tables and reports.
AI-assisted engineering — calibration defines engineering decision, validation, documentation, and retrospective boundaries for agent-assisted code changes.


