About
I build AI-powered products that help financial services teams work faster, more accurately, and with greater confidence — at JPMorgan Chase, at enterprise scale. My work sits at the intersection of product thinking, AI and data systems. I run structured discovery with ops teams and analysts, identify workflow bottlenecks (process re-engineering), and ship end-to-end products that pair intelligent automation with human-in-the-loop review — so users trust the outputs, not just tolerate them. What I've shipped: AI-Assisted Covenant Monitoring Platform: End-to-end workflow replacing fully manual document review and data entry. Documents are ingested, AI extracts key financial data points, and analysts review via a side-by-side interface extracted values alongside the source — before it feeds into the credit application. Reduced unit processing time, analyst rework, and overall turnaround time. Digital Client Document Portal: Replaced a shared-mailbox email process with a self-serve digital portal for clients to upload financial documents, track submission status, and receive automated reminders. Led product direction, user discovery, and success metric definition — improving client experience, document turnaround time, and operational visibility. Data Strategy & Data Migration: Leading migration of product and model data to AWS as part of an enterprise Data Hub build, maintaining analytics and monitoring continuity throughout. Product Analytics & BCP: Built the monitoring and eval pipeline tracking AI model health, business OKRs, and operational KPIs. Designed the product's Business Continuity Plan. How I work: Structured discovery first — user interviews, ops shadowing, and cross-team alignment before any solution commitment. I define success in user outcome terms: processing time, turnaround, error rate, rework, adoption, satisfaction. I partner closely with engineering, data science, and operations, and I'm comfortable going deep on technical tradeoffs while keeping the conversation anchored to user and business impact. Background: 9 years across analytics, data engineering, and product. MBA, Symbiosis Institute of Business Management, Bengaluru.
Work experience
Lead Product Manager - Data & AI Platforms at JPMorganChase, Jan 2024 - Present · 2 y 7 mo, Embassy Tech Village, Lead a team of AI Product Managers building AI-powered document intelligence and workflow automation products for commercial lending business spanning product strategy, roadmap, team coaching, and cross-functional delivery across ops, engineering, and finance stakeholders.
Senior Associate – AI & Data Engineering at JPMorganChase, Apr 2022 - Jan 2024 · 1 yr 10 mos, Bengaluru, Karnataka, India, Built a GenAI-powered ingestion interface standardizing third-party financial data into a unified schema, delivering $200K+ in annual cost savings; led migration of legacy workflows to cloud-native pipelines (AWS)
Associate – Data Analytics & Business Intelligence at JPMorganChase, Jul 2020 - Apr 2022 · 1 yr 10 mos, Bengaluru, Karnataka, India, Delivered analytics and automation solutions on curated datasets using Tableau and Alteryx; developed forecasting models improving operational efficiency by 40%.
MBA Project Intern at Britannia Industries Limited, Dec 2017 - Jan 2018 · 2 mos, Bengaluru, Karnataka, India
MBA Summer Intern at JPMorgan Chase & Co., Apr 2017 - Jun 2017 · 3 mos, Bengaluru, Karnataka, India, Secured Pre Placement Offer (PPO)
Trainee - Planning Engineer at Rajoo Engineers Limited, Jul 2014 - Jun 2015 · 1 yr, Gujarat, India, Analyzed production data and performance metrics to identify trends, inefficiencies and areas for improvement
