Sagar Warghade

Owned end-to-end strategy for an AI-powered renewals platform, launching to ~50 agencies with $1.8M ACV and $3.5M pipeline while aligning retention with RevOps and go-to-market. Built an evidence-linked RAG engine, defined LLM eval metrics (precision/recall/AUC-ROC, LLM-as-judge), and deployed an agentic multi-agent system using Claude SDK to support insurance research workflows.

Led migration from Domo to Amazon QuickSight by redesigning ETL and warehouse workflows for 600B+ data assets, saving $1.5M annually while maintaining data integrity, audit compliance, and observability. Launched a data streaming add-on for learner insights with average $300K deal size, and defined a data lakehouse architecture to enable self-serve analytics and advanced data mining.

Improved marketplace conversion from 2.3% to 8% through funnel optimization (load times, bounce rates, deep links). Developed REST APIs for real-time order status syncing, reduced wait times by 80%, increased CSAT to 90% by building an enterprise no-code chat/ticketing service, and grew neighbor engagement by 34% via community marketplace networking.

Conceptualized and advanced low-cost smart surveillance ($2.5/camera) and achieved 88% model accuracy using an HIL image labeling portal. Launched automated access controls using Facial Recognition, BLE, and RFID and improved vehicle identification via Automatic Number Plate Recognition, reducing wait time to 40ms from 7s and reaching 94%/96% accuracy.

Led cross-functional platform services for IoT telemetry across 800K vehicles, defining alerting thresholds and monitoring while partnering with DevOps, UX, and user research. Launched an ML-based recommendation engine using collaborative filtering to increase online dealer leads by 15%, and defined customer journey touchpoints using CIAM to incorporate voice-of-customer insights.

Conducted 80+ user interviews, then launched ride-now and flexible hourly trips using A/B testing to boost demand by 38% and driver earnings by 26%. Improved profitability by 8% by building return-trip optimization and pricing algorithms using P&L signals, offers/discounts, and customer profiles.

Introduced BNPL, credit card auth-capture, and UPI integrations into the payments flow, increasing non-cash payments by 26% and reducing default fraud rate by 8%. Scaled driver onboarding and a loyalty program that reduced operational expenditure by $1.5M/year.

Analyzed business requirements and supported product delivery sprints, translating needs into measurable KPIs and business objectives. Contributed to project execution using sprint-based planning and KPI-driven delivery.

Completed a Master of Business Administration with coursework in information systems and market research.

Completed a Bachelor’s degree in Electronics Engineering with computer science courses.