Headline

Shipping AI that earns user trust | Senior Product Manager @ Microsoft | LLM evals | 0→1 | Agents | Open to AI labs IN / EU

About

I build AI products that ship — and earn the trust to keep shipping. Twelve years ago I joined Microsoft as a Technical Consultant, embedded with Fortune-500 customers solving cloud and data problems they couldn't solve alone. Eight years of that — first SAP-on-Azure migration in Australia (A$210M cloud commitment), first Cloud Centre of Excellence delivered in North America (developer provisioning cut from 3 weeks to 1 hour) — taught me what production really costs and how quickly a broken feature destroys customer trust. In February 2022 I moved into Product Management. Since 2024 I've been on the AI side. What I ship in AI: • Took an LLM-powered summarization feature from concept to public preview to scale — 18,500+ summaries per month, <10% negative feedback, 250+ MAU. Recognized internally with a company-level "AI Efficiency" award (FY26). • Designed a 3-layer LLM evaluation framework — deterministic checks, LLM-as-judge, expert human review. Turned AI quality from a vibes conversation into an instrumented one. • Made the call to pause and roll back AI features in production when hallucinations were detected — converted that incident into permanent release criteria and rollback triggers. • Built and ran a GitHub Copilot + LLM evaluation workshop for product managers — 4.33/5 confidence post-workshop, called out as the strongest first-time AI onboarding the team had seen. Beyond AI, I move the adoption needle on the products I touch: • ~50%+ adoption growth on cloud-resiliency scorecards across two consecutive periods. • Took a mobile experience from zero to 141% session growth in 90 days by leading user research before writing engineering specs. The way I work: • Start from a clear problem and a sharp hypothesis. Ship the smallest slice that proves the bet. • Let adoption data — not anecdotes — drive scope. • Deprecate ruthlessly. Stale features erode trust faster than missing ones. • Write for executives the way I write for engineers: short, specific, honest about trade-offs. Open to: Senior PM roles on AI / LLM product teams at AI labs and frontier-product companies. Based in Bengaluru, open to relocation in the EU. Let's talk if you're building AI products that have to be right, not just impressive. → DM open.

Location

Greater Bengaluru Area

AI stack

github copilot

mcp

openai

githubcopilot

Microsoft Copilot

Work experience

Senior Product Manager at Microsoft, Mar 2025 - Present · 1 yr 9 mos, Senior PM for AI-native experiences and reliability insights on an internal customer-experience platform serving thousands of weekly users across customer success, engineering and field teams. AI Product Leadership • Took an LLM-powered customer summarization feature from concept → public preview → scale. 18,500+ summaries/month. 250+ MAU. <10% negative feedback. +43% MoM growth. Won a company-level AI Efficiency award (FY26). • Designed a 3-layer LLM evaluation framework — deterministic checks → LLM-as-judge → expert human review. Integrating into the product release pipeline. • Paused and rolled back AI features in production after detecting hallucinations. Codified the response into release criteria, rollback triggers and quality guardrails the team uses today. • Built and delivered an internal GitHub Copilot + LLM evaluation workshop for PMs. 4.33/5 post-workshop confidence. Recognized as the strongest first-time AI onboarding the org had seen. • Set the AI strategy for the platform's next-gen experience — shifting from passive insights to agent-driven workflows with humans in the loop. Adoption & Scale • Drove ~50% adoption growth on cloud-resiliency scorecards across two consecutive releases. • Built live KPI dashboards with engineering to track adoption and customer outcomes in real time. Stack: LLM evals, agentic workflows, GitHub Copilot, MCP, Azure, Kusto/KQL, Power BI.

Product Manager 2 at Microsoft, Jan 2022 - Mar 2025 · 3 yrs 3 mos, Hyderabad, Product Manager covering customer experience platforms — across data platform, mobile experience and resiliency insights for an internal customer-experience suite used by 8K+ engineers, customer success and field teams. Reliability & Resiliency • Drove ~50% adoption growth on cloud-resiliency scorecards across two consecutive periods • Built live KPI dashboards in partnership with engineering to track adoption and customer outcomes in real time. Mobile experience (0→1) • Initiated and shipped a mobile-optimised experience for the platform: +141% mobile sessions in 90 days, session time 30s → 1.1 min, unique users 341 → 616. • Ran 250-response user survey + 11-user usability study BEFORE writing engineering specs — surfaced 15 UX recommendations, 5 prioritised for MVP, saving significant rework. Data platform & trust • Drove deprecation of stale data sources • Migrated 12,000+ legacy data cluster users to a modern, governed data platform • Onboarded 40+ internal teams to the Platform Cross-functional leadership • Stepped in as acting EM during a leadership absence; re-planned a multi-team semester backlog. • Hired and onboarded 4+ PMs. Stack: Product specs, OKRs/KPIs, user research, Azure, Kusto/KQL, Power BI, data platform, agile delivery.

Consultant at Microsoft, Sep 2018 - Feb 2022 · 3 yrs 6 mos, Bengaluru, Senior Technical Consultant delivering enterprise cloud and data-platform engagements for Fortune-500 customers across North America, EMEA and APAC. Headline engagements • First Cloud Centre of Excellence (CCOE) program delivered in North America — Platform Team Lead on a 10-month engagement with a Fortune-100 US energy utility. Built a developer infrastructure-provisioning platform that cut environment provisioning from 3 weeks → 1 hour. • First SAP-on-Azure migration in Australia — designed patching, monitoring and backup for a major retailer's SAP estate in 6–7 weeks. Engagement underwrote A$210M of 5-year cloud commitment. • Delivered UK + US Azure Landing Zones for the same energy utility in <6 weeks via automated pipelines (typically a 3-month exercise). • Lead Consultant on a global US-telco engagement — owned governance for the SI partner team; featured in the customer's July Wall of Fame and in the FY20 Q4 Secure Infrastructure business update. • Delivered Azure Cloud Foundation engagements for customers in Vietnam (banking) and Switzerland (FMCG); the latter generated a follow-on migration contract. Community, IP and enablement • External Microsoft Reactor community talk on Azure Arc — 50+ signups to a Modern Apps hiring drive. • Lead Consultant Role Readiness session — 82 participants, 92% scoring 8–10/10. • Contributed Policy-as-Code modules to the internal Infrastructure-as-Code IP library, reused across Cloud Foundation and CCOE engagements globally. • Completed the Technical Leadership Development Program (April 2020). Mentored multiple junior consultants from ramp-up to fully independent delivery on Azure Cloud Foundation and AKS engagements. Stack: Azure (compute, networking, identity, storage), Azure Landing Zones, DevOps, IaC (Terraform, ARM), Kubernetes (AKS), SAP-on-Azure, Azure Arc, Policy-as-Code.

Software Engineer at Accenture, Jul 2012 - Oct 2014 · 2 yrs 4 mos, Bengaluru Area, India, Working in the field of Application Packaging and Virtualization for few North American and European Clients

Education

B.E, Computer Science, Sona college of technology

kendriya vidyalaya