Siddhartha Sandilya
Senior Manager, AI/ML Foundations — building and shipping AI platforms in regulated pharma environments.
12+ years across pharma, analytics and AI/ML. Open to Head of AI / VP-level roles — in pharma, healthcare, or beyond — where I can lead teams building production ML and generative AI systems at scale.
About
I lead AI/ML foundations work in pharma — taking models from notebook to production under GxP constraints, and building the platforms that make that repeatable across an organization.
My path has run through MSD Merck, Axtria, Fractal Analytics, Novartis, Cognizant and Infosys — giving me both the domain depth and the delivery discipline that regulated industries demand.
Recent work includes Discover, an AI/ML model marketplace, and Muse, a RAG-based generative AI assistant, plus hands-on deployment of classification pipelines (Random Forest, XGBoost, LightGBM) on Azure ML with real-time scoring, batch inference and retraining built in.
I'm now looking for a Head of AI / VP-level role where I can own AI strategy and delivery end to end — in pharma, healthcare, or in a new industry altogether.
What I lead
The three areas where I've built and shipped — and where I'm looking to lead next.
AI Strategy & Governance
Setting AI direction for healthcare and life-sciences organizations — use-case prioritization, GxP-aligned governance frameworks, and building the team and capability to deliver on it.
Pharma & Commercial Analytics
Field-force and commercial analytics for pharma — call planning, marketing-lead scoring, and forecasting built on real prescriber and market data.
ML Platforms & Generative AI
End-to-end ML delivery — model development, MLOps and production deployment on Azure ML, and RAG / generative AI applications built for enterprise use.
Selected work
Career log
Let's talk
Open to Head of AI / VP-level conversations — in pharma, healthcare, or elsewhere.