Headline

AI Product Manager | 0-to-1 GenAI Platforms · LLM · RAG · Agentic Workflows | Enterprise SaaS | Insurance & Healthcare

About

I build AI products that make enterprise teams measurably faster - not just incrementally, but by orders of magnitude. Over the last 5 years, I've taken GenAI platforms from blank-slate discovery to global rollout - across insurance and healthcare markets in the US, UK, and Ireland. The kind of work where the benchmark isn't a feature shipped, but a workflow that used to take weeks now taking under an hour. What that's looked like in practice: - Running 70+ discovery interviews to get from ambiguous business problem to shippable MVP - Defining LLM evaluation frameworks - accuracy thresholds, hallucination guardrails, extraction quality rubrics - that data science teams adopted beyond the original product - Driving a build-vs-buy infrastructure decision that cut unit AI processing costs by over 80% - Scaling adoption from zero to thousands of active users across multiple geographies in under 6 months I'm equally fluent in the product fundamentals (roadmap, OKRs, prioritisation, PRDs) and the AI-specific layer (RAG pipelines, agentic workflows, prompt engineering, eval design) — which means I can work credibly with engineers and data scientists, not just alongside them. Domain depth: Enterprise insurance · US healthcare Tech fluency: LLMs · RAG · Agentic Workflows · Vector DBs · Prompt Engineering MBA, Business Analytics — BITS Pilani. Based in Bengaluru, open to global and remote AI product roles.

Location

Bengaluru

AI stack

claude

ChatGPT

Figma Make

Work experience

AI Product Manager at Fractal, Nov 2024 - Present · 1 y 10 mo, Bengaluru, • Led 0→1 delivery of an enterprise GenAI SaaS platform — owning product vision, multi-quarter roadmap, and OKRs from inception through global rollout across multiple business lines. Ran 70+ discovery interviews with end users and operations teams; built Figma prototypes across 4–6 core user flows to align scope before engineering investment. • Championed build-vs-buy re-architecture of the LLM pipeline from third-party to in-house infrastructure — cutting unit processing cost 83% ($12 → $2) and unlocking enterprise-scale deployment across 4 countries. • Compressed document-heavy workflows from weeks of manual effort to under an hour using AI-driven analysis - delivering measurable operational ROI. • Made strategic roadmap trade-offs — prioritising high-impact UX improvements over backend complexity to reduce onboarding friction and accelerate early adoption during launch phase. • Ran a structured phased pilot across select enterprise groups — used answer accuracy, hallucination rate, and user feedback as go/no-go signals to validate and refine feature scope before scaling to full deployment. • Led a cross-functional squad across engineering, data science, design, QA, and SMEs — managed multiple sprint cycles across a 9-month delivery arc, shipping 4 major releases from MVP through full platform launch on schedule.

Product Owner at CitiusTech, Jul 2021 - Oct 2024 · 3 yrs 4 mos, India, • Owned vision, roadmap, and success metrics for an LLM-powered internal knowledge assistant on RAG architecture - reducing manual query handling by 60% across operations teams. • Built a real-time claims performance dashboard (Power BI) adopted by US payer stakeholders — eliminating 8 hours of weekly manual reporting and reducing SLA breach response time by approximately 2 days. • Automated high-volume insurance and healthcare workflows - reducing recurring manual effort and freeing operations teams for higher-value work. • Established KPI frameworks and adoption dashboards across 3 AI and analytics products — tracked North Star metrics and leading indicators to drive iterative improvement across each release cycle. • Presented data-driven roadmap recommendations to C-suite and VP stakeholders across quarterly planning cycles - aligning product outcomes to business goals and influencing investment decisions for enterprise AI initiatives.

Product Operations Intern at Tata Consultancy Services, Jan 2021 - Jun 2021 · 6 mos, Mumbai, • Supported content and research workflows across publication projects - conducting analysis, reviewing documentation, and identifying process improvement opportunities. • Collaborated with cross-functional teams to track requirements, timelines, and deliverables across multiple concurrent projects. • Assisted in research and data analysis to ensure accuracy, quality, and compliance with industry standards. • Contributed to streamlining internal coordination processes - improving efficiency and supporting timely project delivery across teams.

Data Analyst Intern at ViridisChem, Inc., Feb 2020 - Jul 2020 · 6 mos, San Jose, CA, • Conducted comparative analyses and extracted toxicity endpoints from the EPA database to support predictive modelling workflows. • Collaborated with the development team to ensure timely project delivery and effective workstream management. • Provided technical support to team members - resolving queries and unblocking challenges during the project lifecycle.

Education

Master of Business Administration - MBA, Buisness Analytics, Birla Institute of Technology and Science, Pilani

Bachelor of Technology - BTech, Bioengineering Sciences and Research, MIT ADT University