Anmol Gorakshakar

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About

Biology meets engineering discipline.

I work at the edge of systems biology, drug discovery, and production software: turning messy scientific data into reliable pipelines, APIs, models, and research platforms.

New York, NY / computational biology / platform engineering

Profile

Biology problems, software constraints.

My strongest work happens where scientific workflows need production-grade shape: schema design, data contracts, REST APIs, scalable curation, and ML systems that can be reasoned about after they leave a notebook.

Proof Points

8+ years across research and systems 1000x HR-Algorithm speedup 85% held-out biomedical NLP AUC 5+ validated preclinical leads

Core Skills

Technical surface area

The recurring capabilities behind the work, kept to outcomes instead of an exhaustive tool inventory.

Platform Engineering

Always-on scoring

Replaced VM-era score delivery with AKS, Terraform, KEDA, and CI/CD so customer health scores could run reliably in production.

AKS Terraform KEDA

Scoring Systems

Every score path

Turned scientific Python packages into deterministic scoring paths used across customer and clinician-facing workflows.

PCA ICA NMF

Data Reliability

3 days to 8 hours

Cut ODM sync time, improved auditability, and made clinical data defects visible before they reached downstream reporting.

Postgres Audit logs QA views

Developer Tools

One install

Standardized score releases with compiled CLIs for deploy, rollback, notify, export, and ID translation.

DASH Nuitka Slack

Scientific Platforms

1000x / 5+ leads

Built partner-facing drug discovery tooling that accelerated HR-Algorithm workflows and supported validated preclinical leads.

Molsoft ICM Flask API Docking

Experience

Where the work happened

Project evidence
Mar 2025 / Now

Platform Engineer, Data Analytics & Solutions

Viome Life Sciences

Own VSE end-to-end, the central AKS-deployed inference platform delivering every microbiome score to customers and clinicians while replacing legacy VM scoring infrastructure.

May 2022 / Mar 2025

Scientist, Systems Biology

Viome Life Sciences

Authored the Python scoring packages and explainability tools that became the foundation for VSE, reducing manual score audits from 30+ minutes to self-service lookup.

May 2020 / Apr 2022

Research Scientist

GeneCentrix

Led AbbVie-facing drug-discovery platform work, advanced 5+ leads to CRO validation, and rebuilt HR-Algorithm for over 1000x faster partner tooling in Molsoft ICM.

Dec 2016 / Feb 2018

Research Intern

HBCSE, TIFR

Investigated mTOR signalling in Chlamydomonas; work contributed to a FEBS Letters publication with 33 citations.

Education

Training base

2018 / 2020

MS Biotechnology

New York University

GPA 3.9 / 4.0 with coursework across biotech, healthcare, pharmaceutical industry, and biosensors.

2015 / 2017

MSc Biotechnology

Vellore Institute of Technology

Advanced biochemistry, cell and molecular biology, biostatistics, and analytical techniques.

2012 / 2015

BSc Microbiology

St. Xavier's College, Mumbai

Microbiology foundation with honours programme participation and student event organization.