Anmol Gorakshakar

Computational Biology / Platform Engineering

Scientific systems that survive production.

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

Full timeline

VSE

Core Platform

Built the Kubernetes-deployed scoring platform that delivers every microbiome health score to customers and clinicians, replacing VM-era scoring with auditable release infrastructure.

ProductionAKSKEDATerraformScoring

DASH

Internal Leverage

Standardized score release workflows behind compiled Python CLIs, reducing operational friction across deploy, rollback, notification, export, and ID translation tasks.

Published internallyCLIRelease workflowNuitka

HR

Partner Platform

Rebuilt the Historeceptomics-Algorithm as a Python package and relational database, making it over 1000x faster and usable through Molsoft ICM partner tooling.

Live1000xMolsoft ICMAbbVie
ChatGPTCompatible across the spectrum

Agentic Tooling

Deploys itself. Asks before it touches the database.

A real run from one of the MCP servers I built so agents operate safely inside production systems — writing artifacts, opening tickets, and knowing exactly where to stop.

convert-mcp · reshape

MCP Servers

scoring-mcp

Score release pipeline — builds snapshots, generates release/deploy/rollback SQL, formats reference links, and sends Slack announcements.

sql-executor

Named, parameterized, pre-reviewed SQL queries for common lookups, plus a raw-SQL escape hatch for one-off schema exploration.

workflows-mcp

Serves named, multi-step procedural runbooks — no business logic, no side effects at all.

convert-mcp

Generic pandas-backed file format conversion — csv, excel, json, parquet, pickle, and more.

translate-ids-mcp

Cross-translates identifiers (kit-id, user-id, test-id, external-id) across internal databases, optionally joined to analysis-id.

expression-mcp

Pulls filtered expression data (by feature type and read-count threshold) from the bioinformatics database as a clean, ready-to-analyze CSV.

GitHub Activity

Past year

GitHub
737 Contributions
70 Pull Requests
38 Repos

Language Mix

  • Python42.5%
  • Java38.8%
  • HCL9.5%
  • Shell2.8%
  • R2.0%
  • Go1.6%
  • Other2.8%

What 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.