Tanu Rana

I’m an AI Product Leader with 10+ years in tech, focused on shipping enterprise platforms that turn frontier ML into products people trust and teams can run. I’ve delivered $20M+ in ARR by scaling AI/ML-first offerings and defined multi-year AI strategy that helped products contribute 30%+ in global revenue.

Most recently, I’m building an enterprise AI platform for agentic systems, LLM orchestration, and intelligent workflow automation. I architected and launched a multi-agent AI strategy engine using LangGraph, Graph-RAG, and LLM orchestration—turning natural language business problems into execution-ready strategies across 1,000+ marketing case studies and reducing time-to-first-value by 34%. I also built an AI governance engine integrating LLM-as-Judge, adversarial testing, and regression agents to automate evaluations and establish governance frameworks for reliable deployment.

Previously, I led 0→1 product development for an AI-powered B2B CRM intelligence platform—unifying creator discovery, campaign management, analytics, payments, and contracts into a single enterprise workflow. I scaled it to 25K+ creators and improved engagement by 46%, while launching API-first integrations and conversational voice agents that reduced onboarding time by 65% and increased user acquisition by 30%. Earlier still, at Schrödinger and D E Shaw, I partnered with researchers to productionize ML for scientific simulation and computational drug discovery—building GPU-accelerated AutoML and governance frameworks that improved predictive performance by 2–4× and generated $8M+ and $7M+ in expansion ARR.

My product philosophy is simple: combine deep technical systems thinking with strong product execution. I lead cross-functional teams across research, engineering, infrastructure, and data science to build scalable architectures, reliable model governance, and practical delivery pipelines—so customers get fast value today and sustainable performance tomorrow.