Rahul G.

About Rahul G.

I love building at the intersection of innovation and trust — whether it\'s explainable AI/ML systems that defend decisions to regulators, resilient platform teams that consolidate decades of legacy chaos, or multi-cloud architectures that scale to millions of transactions. In regulated environments where you can\'t just move fast and break things, making cutting-edge technology work within strict compliance frameworks is the challenge that drives me.With 15+ years delivering payments, fraud, and AI/ML products at JPMorgan Chase and Zurich Insurance, I translate complex technical capabilities into trusted customer experiences that drive measurable business outcomes.For example: When JPMorgan\'s vendor fraud tool started missing 40% of fraud patterns, costing $3M+ annually while major clients threatened to leave, I built the business case for our first in-house explainable ML system. After the SVP of Risk questioned whether we could explain ML decisions to regulators, I built a 30-day proof-of-concept showing 35% better precision with full decision traceability — turning him into our champion who secured $2M funding. Within 14 months of productionization, we achieved 25% fewer false positives, cut manual work by 30%, and saved $2M annually. As Commercial Cards\' first AI/ML initiative, this established the foundation — We then hired our first data scientists and opened the door for AI capabilities across our entire Line of Business.In another instance, shadowing operations teams, I discovered 800+ advisors manually juggling 28+ legacy systems — cases taking 2-3 hours instead of 30 minutes with 30-40% manual errors. I built a business case to consolidate everything into a unified PEGA platform ($15M investment,$21M annual savings). When the VP of Application Development pushed back, I proposed starting with one simple workflow to prove value. Over 4 years, I led the phased rollout from 1 to 9 workflows. Case resolution time dropped 75% to 30-45 minutes, we decommissioned all 28+ legacy applications, and optimized from 800 to 300 advisors - delivering the $21M savings I projected.Outside work, you\'ll find me chasing trails and sunsets at U.S. national parks, with Yellowstone being my favorite. I’m always up for swapping notes on the best hikes, hidden overlooks, and underrated parks.If you\'re building AI/ML products or need a TPM who pairs technical depth with product thinking, let\'s connect.

Experience

1. Senior Technical Product Manager

   Meijer

   Dec 2025 — Present · Chicago, IL, US

   Leading platform-as-product strategy to deliver uptime multi-cloud infrastructure (Azure/GCP) enabling enterprise-scale containerization and Kubernetes deployments.• Unblocked 9-milestone delivery plan by building a cross-functional execution model across 6 siloed teams (Networking, SRE, Security, DevOps, EQA, OpenShift), aligning 40 downstream teams to a unified cloud-native mandate.• Defined \"Platform-as-a-Product\" roadmap with 12 shared capabilities (GitOps, Terraform, OPA); projected to cut developer onboarding by 75%(from months to 2–4 weeks).• Recaptured $1M+ in wasted spend by exiting an over-engineered vendor POC and pivoting to an in-house GitOps automation framework, reducing deployment cycle times by ~85%.

Education

• Jawaharlal Nehru Technological University

  Bachelor of Technology (B.Tech.), Computer Science