SAMEER S. HALBE Staff Product Manager | AI Platform & Productivity Manager sameer.halbe@gmail.com • +1 (716) 867-7537 • Fremont, CA Open to Relocation / Hybrid PROFESSIONAL SUMMARY High-impact Senior Product Manager with 16+ years of experience architecting hyperscale AI/ML platforms, MLOps tooling, and high-velocity developer infrastructure across Fortune 500 technology and enterprise environments. Proven track record of optimizing developer productivity and model onboarding workflows—slashing model time-to-market by 50% to 75% (from 2 years down to 4–6 months) by building automated DataOps pipelines, synthetic data engines, and feature stores. Expert in real-time AI inference platforms operating at $1T+ annual transaction scale, 3,000 TPS, and 20ms latency. Adept at removing friction for data scientists and ML engineers through intuitive APIs, standardized audit logging, agentic frameworks, and Human-in-the-Loop governance. Author of published AI research and Stanford-certified in Generative AI product innovation, prepared to drive AI Platform developer ecosystem forward. CORE COMPETENCIES & EXPERTISE AI Platform & Developer Productivity: MLOps/LLMOps Pipelines, Developer Tooling & SDKs, Automated Onboarding Workflows, Model Validation & Audit Logging, Friction Reduction for Engineers & Data Scientists Hyperscale AI Infrastructure & Inference: Real-Time Scoring Platforms, High-Throughput Inference (3,000 TPS, 20ms Latency), Feature Stores, Agentic Frameworks, UMF Streaming, Model Lifecycle Management DataOps & Synthetic AI Engineering: Synthetic Data Generation Engines, Data Readiness Frameworks, Token & Authorization Feature Curation, SQL, Python, AWS, Snowflake, Hadoop/Hive Product Strategy & Technical Alignment: Developer Ecosystem Enablement, Cross-Functional Technical Alignment (20+ Engineers/DS), Agile/Scrum, Product Roadmapping, OKR Alignment, Responsible AI Governance PROFESSIONAL EXPERIENCE Staff AI/ML Product Manager – Hyperscale AI Platform & Developer Productivity | Visa Inc. Nov 2022 – Present • San Francisco / Foster City, CA Developer Productivity & Time-to-Market Acceleration: Built enterprise synthetic data engines and DataOps workflows from 0-to-1, slashing developer and data science model time-to-market by 50–75% (reducing training-to-deployment cycles from 2 years down to 4–6 months) while boosting model accuracy by 3%. Hyperscale Model Onboarding & Developer Infrastructure: Product-managed the onboarding of VAAI real-time fraud detection models onto Visa's new hyperscale AI Server platform ($40B program scoring $1T+ in transactions across ~2B daily events at 20ms latency and 3,000 TPS). Agentic AI & Model Modernization Tooling: Architected and deployed an Agentic Model Modernizer framework for Token Enumeration Attack scoring—processing 4B+ records (a platform first) to achieve a 500%+ increase in high-risk blocking and an 85% reduction in false declines, generating $4M+ in direct revenue. Unified Data Readiness & Feature Streaming: Engineered curated data readiness pipelines (VPI 2.0) and implemented Unified Message Format (UMF) streaming across models, eliminating feature-level mismatches for data science teams and lowering platform TCO. Streamlined Audit Logging & Responsible AI Governance: Designed an automated platform-level audit log and real-time Allow List / Auto-Blocking framework, providing ML engineers with seamless compliance and human-in-the-loop governance (aligned with EU AI Act Article 14). Developer Enablement & Technical Culture: Championed developer adoption through 'Data for AI' workshops, hackathons, and technical 'Learning Burst' / Lunch & Learn sessions connecting platform engineering, data science, and security teams. Senior Product Manager / Sr. Manager, Data & AI Platforms | Guidewire Software Mar 2018 – Nov 2022 • San Mateo, CA Cloud AI/ML & Developer Analytics Platforms: Architected 100% cloud-based BI, data, and analytics platforms on AWS and Snowflake serving 3,500+ employees and external developer teams; boosted platform adoption by 40% through scalable data democratization strategies. Data Pipeline Optimization & Engineering Enablement: Led Agile product engineering teams to optimize SQL queries, data models, and analytics pipelines, dramatically improving platform query performance and system reliability for SaaS P&C insurance clients. Platform Roadmap & Developer Metrics: Owned the end-to-end platform lifecycle, defining developer user stories, technical requirements, and platform adoption KPIs. Senior BI & Data Product Manager | Apple (via Saama) Mar 2017 – Mar 2018 • Cupertino, CA High-Velocity Platform Analytics: Delivered AI-powered analytics solutions for iTunes, App Store, and subscription services on Hydra/Vertica platforms, migrating legacy reporting to real-time cloud infrastructure for leadership insights. BI & Data Product Manager | Genentech (via Saama) Mar 2016 – Mar 2017 • South San Francisco, CA Enterprise Data Architecture: Managed Hadoop/Tableau AI-BI platforms in a regulated biopharma environment, architecting Hive-based data warehouses and commercial data models aligned with pricing and sales objectives. Product Lead, AI & BI Architecture | Sandvik Jun 2010 – Mar 2016 • Fair Lawn, NJ Global Systems & Data Governance: Engineered AI-enhanced CRM reporting frameworks and data architecture aligned with global sales and operational goals. Product Lead / Business Analyst | Merck Jun 2009 – May 2010 • Whitehouse Station, NJ Regulated Mobile Platform Launch: Launched AI-integrated mobile application for diabetes marketing with secure data integrations. PUBLICATIONS & PEER-REVIEWED RESEARCH Patent Pending System to distinguish bot click vs human click / Peer-Reviewed Paper: Differentiating Conscious Human Entities From Autonomous AI Agents: A Heart Rate Variability (HRV) Based Framework, Qeios, 2026 (DOI: 10.32388/BXF520). Peer-Reviewed Paper: Paying People for Being Human: A Biosignal-Verified Token Economy for Human Cognitive Labour in the Age of AI, Singaporean Journal of Business Economics and Management, 2026. Peer-Reviewed Paper: Social Media Bot Fraud and Automated Abuse: Detection, Risk Scoring, and Real-Time Mitigation Frameworks, International Journal of AI, BigData, Computational and Management Studies, 2026. EDUCATION & STANFORD EXECUTIVE CREDENTIALS Stanford University Executive Certifications in AI & Product Innovation (2023): Mastering Generative AI for Product Innovation, Technical Fundamentals of Generative AI, Human-Centered Gen AI, User Research & Product Marketing M.S., Management Information Systems: SUNY Buffalo, 2009 (GPA 3.6) B.E., Information Technology: Pune University (PICT), 2007 (Distinction) Professional Certifications: Professional Scrum Master (PSM), Certified ScrumMaster (CSM), ITIL Foundation, AWS Services, Dale Carnegie Leadership Diploma