Headline

AI Product Manager | 10 Yrs in AI/ML | Ex- ML Researcher | Deep Learning | AI Strategy | AI Product Builder | Agentic AI, LLMs, RAGs, Observability | Enterprise B2B SaaS | DeepTech | Web3 | SheFi

About

Senior AI Product Leader | Ex-Researcher | Built 0→1 AI Products at Scale I 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 scale The 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 metrics Stack: Python | TensorFlow, PyTorch | AWS | Kubernetes | MLFlow | API Integrations | API Design | Microservices What 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 AI Lets connect!

Location

Bengaluru

AI stack

claude code

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cursor

langgraph

opencode

claudecode

Work experience

Lead AI Product Manager at Stealth AI Startup, Feb 2023 - Present · 3 y 6 mo, Remote, -- Architected and launched a multi-agent AI strategy engine using LangGraph and RAG across 1,000+ 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 25,000+ 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%

Senior Scientist (Senior PM equivalent) at Schrödinger, Dec 2021 - Dec 2022 · 1 yr 1 mo, Hyderabad, Telangana, India, --Delivered two research-driven ML solutions for molecular property prediction—boosting performance by 2–4× and unlocking $8M+ in expansion ARR ($2.2M upsell, $5.8M consulting), positioning the platform as a market leader in computational drug discovery. --Scaled product innovation across nearly half the software suite by translating cutting-edge ML research into intuitive, production-ready features in collaboration with scientists. Unlocked executive investment by reframing technical roadmaps into ROI-focused business cases. --Led end-to-end integration of two predictive ML models into the flagship web/desktop applications–foundational to 46% of the company’s product portfolio. Orchestrated execution of foundational upgrades across 10+ product teams, navigating complex and interdependent data pipelines across platforms. --Drove a 34% reduction in critical bug reports and accelerated delivery of high-impact features by embedding customer feedback into roadmap prioritization, improving product quality and customer satisfaction.

Senior Scientist-I (equivalent to Product Manager) at D. E. Shaw India Private Limited, Mar 2019 - Nov 2021 · 2 yrs 9 mos, Hyderabad, Telangana, India, --Co-directed multi-year product vision and shaped execution for three core products (30%+ annual revenue contribution), leading a 20-member cross-functional team (Engineering, ML, Data Science, Research, MLOps, UX). Successfully embedded ML strategy into complex, cross-platform products by securing executive sponsorship and aligning global stakeholders. --Enabled over $7M in first-year expansion ARR from 4 Fortune 500 pharma partners by boosting user activation by 39% and adoption by 44% through targeted UX improvements and 6+ API integrations. --Reduced modeling cycles from months to hours by launching a GPU-enabled AutoML tool, democratizing ML access for thousands of pharma scientists via intuitive web interfaces. --Revamped backend architecture and UI to integrate 13+ deep learning models (GCNNs, XGBoost, Random Forest Ensembles) into a fully automated ML pipeline. This dramatically increased ML feature velocity, enabling rapid prototyping, parallelized training of 200+ models per run and deployment via Kubeflow on AWS. --Co-delivered extensible ML infrastructure that later powered 6+ high-impact ML products by partnering with engineering, significantly reducing development cycles and enabling scalable cloud deployments for new AI features. --Enhanced user trust and auditability of 200+ production models by co-delivering a 0→1 ML Monitoring Dashboard with Explainable AI (adding feature importance & uncertainty estimation). I also drove an API-first integration strategy and design.

Senior Member Technical (Computational Sciences & Tech) at D. E. Shaw India Private Limited, Jul 2018 - Feb 2019 · 8 mos, Greater Hyderabad Area

Member Technical (Computational Sciences & Tech) at D. E. Shaw India Private Limited, Aug 2016 - Jun 2018 · 1 yr 11 mos, Greater Hyderabad Area

Graduate Research Fellow at Indian Institute of Technology, Delhi, Sep 2015 - Oct 2015 · 2 mos, Greater Delhi Area, Hands on training in these disciplines: - High Performance Scientific Computing - Drug Design & Discovery - Protein Folding - Genome analysis

Research Fellow at IISER Bhopal, Jun 2015 - Jul 2015 · 2 mos, Computational Biophysics and Soft Matter Research Group, Research Project: "Quantification of hydrophobic interactions of aggregates of small amino acids in a variety of solvents by Molecular Dynamic Simulations".

Education

Master's Degree, Yale University

Master of Science - MS, Computing & Applied Chemistry, Dr B R Ambedkar National Institute of Technology, Jalandhar