Ankita Jainkuniya

Led enterprise GenAI product deployments, cutting 150+ support roles via LLM-powered tooling and projecting 55% ROI by moving models from demo-ready to production-ready. Own ModenX (ChatCDP) end-to-end, including knowledge ingestion architecture, access controls, search relevance tuning, feedback loops, and trust metrics for AI reliability.

Grew DAU from 5% to 45% by rebuilding onboarding, introducing behavioral incentives, and launching re-engagement flows (9x lift by treating activation as a product). Built an AI AutoQA platform (LLM + RPA) from zero, reducing audit cycle time by 70%, achieving 99.5% compliance, and cutting manual QA by 90%.

Built an SME/MSME product suite that scaled to 15,000 users and 5,000 corporates, generating $1.5M revenue and driving 1.5× QoQ transaction volume and ₹8 Cr GMV. Reduced system failure rate from 12% to under 2% in three months through monitoring, incident review, and targeted product fixes.

Built a creator engagement platform from zero to $5M ARR and 500K downloads across 20 enterprise clients by improving cold-start activation. Led roadmap, hiring, fundraising, and enterprise sales, delivering the acquisition to Reliance while maintaining ongoing product shipping.

Owned a $15M P&L across supply, pricing, and driver lifecycle, driving 200% supply growth and improving 6-month retention by 40% via onboarding and activation redesign. Led ASEEM with the Government of India and Microsoft, coordinating across government, enterprise, and product stakeholders.

Completed the Executive Post Graduate Programme (EPGP) in Business Analytics at IIM Bangalore.

Grade: University Topper

Earned a B.Com (Honours) degree at Shri Shikshayatan College in Kolkata.

Completed Business Analytics coursework (GRE 334/340) at UT Dallas.

Completed an executive program focused on Data Management at Harvard Business School.