Tanu Rana

About Tanu Rana

Senior AI Product Leader | Ex-Researcher | Built 0→1 AI Products at ScaleI transform breakthrough AI research into products that generate millions in revenue and serve users at scale.Over 9+ years in tech (7+ as PM), I\'ve shipped AI/ML products across MarTech and Life Sciences—including a machine learning platform running 200-400 ML models simultaneously on cloud GPUs for AI-powered drug discovery. I\'ve architected solutions that drove Fortune 100 partnerships and defined new product categories.What Sets Me Apart:My research background (Graph Neural Networks, ML systems) gives me an unfair advantage: I evaluate opportunities like a researcher, architect solutions like an engineer, and ship products like a builder.This trifacta means I- Cut through AI hype → Identify scalable, high-ROI opportunities that ship - De-risk technical execution → Spot data, infrastructure, and UX pitfalls before they hit production - Accelerate time-to-market → Bridge research teams, engineering, and customer needs to deliver products that actually scaleThe result? AI products that don\'t just launch—they scale to millions in ARR, delight users, and become revenue engines.Track Record: 0→1 AI Product Leadership: Launched multiple AI products from concept to market, including platforms serving enterprise customers in industries like pharma and marketing tech. Cross-Functional Leadership: Led global teams across engineering, data science, design, and research to align technical complexity with business strategy and product vision Production ML at Scale: Architected and shipped ML/AI systems running 300+ GPU accelerated machine learning models on AWS, with expertise in the entire MLOps pipeline from data pre-processing, model training, fine-tuning, inference API deployment (containerization) and model observability and tracking. Data-Driven Growth: Drove growth and retention through A/B testing, product analytics, instrumentation, and continuous ML model evaluation—optimizing for both user experience and business metricsStack: Python | TensorFlow, PyTorch | AWS | Kubernetes | MLFlow | API Integrations | API Design | MicroservicesWhat I\'m Looking For:Senior AI PM roles at companies pushing the frontier of AI—especially opportunities involving- Launching 0→1 AI products - Scaling AI platforms or AI infrastructure (LLMs, ML systems, AI/ML dev tools, AI inference, AI cloud services)- Collaborating with world-class research teams to productize breakthrough AILets connect!

Experience

1. Lead Ai Product Manager

   Stealth Startup

   Feb 2023 — Present

   Architected and launched a multi-agent AI strategy engine using LangGraph and RAG across marketing case studies. Transformed natural-language queries into execution-ready, financially modeled roadmaps, accelerating time-to-first-order by 34%- Developed a LangGraph based AI reliability platform by integrating multiple AI agents (i.e. Judge, Adversarial, Regression) to automate LLM evaluation, reduce hallucination risks, and establish KPIs for safe and continuous deployment of agentic systems-Built and scaled a 0→1 firm-wide AI orchestration platform that embedded decision-grade GenAI into core employee workflows-Operationalized multi-model LLM synthesis, workflow automation, and reusable prompt systems, leveraging agentic AI to accelerate execution velocity and save 10+ hours/week per employee-Led the 0→1 development of an AI-powered B2B marketing intelligence platform, centralizing the end-to-end brand-creator lifecycle, including discovery, contracts, payments, campaign management and analytics. Scaled the two-sided marketplace to creators and boosted brand to-creator engagement by 46%-Defined core marketplace liquidity strategy by designing supply-demand matching logic and pricing levers, improving creator activation-to campaign conversion by 27% while maintaining CAC efficiency-Designed and launched a 0→1 tiered pricing model by segmenting customers, mapping features to value-based packaging, and implementing usage-based controls. Led end-to-end GTM including positioning, sales alignment, and pricing experiments, increasing ARR by 22%-Spearheaded AI integration by launching voice-based conversational agents that placed outbound calls, conducted structured data-capture dialogues using LLM-driven intent parsing, and synchronized responses with backend workflows via APIs, reducing onboarding time by 65% and increasing user acquisition by 30%

Education

• Scaler

  AI & Machine Learning

• Dr B R Ambedkar National Institute of Technology, Jalandhar

  Master of Science - MS, Computing & Applied Chemistry

• Delhi University

  Bachelor of Science - BS, Chemistry (Hons.)

• Yale University

  Master's Degree

Skills

• Data Analysis
• Material Science
• Chemistry
• Leadership
• Computational Chemistry
• Public Speaking
• M. D Simulations
• Python
• Microsoft Office
• Analytical Chemistry
• Management
• Drug Designing
• C
• Programming
• Microsoft Powerpoint
• Research
• Gromacs
• Linux
• Biochemistry
• Molecular Modelling