Jagriti Barawal

AI-first Product Manager with 1+ years of hands-on experience building and shipping GenAI products using LLMs, RAG pipelines, and AI agents. Proven ability to own products end-to-end — from problem discovery and PRD creation to launch, iteration, and optimization. Strong experience translating business challenges into scalable AI-powered workflows, collaborating closely with engineering teams, and improving product performance through data, prompt optimization, and user feedback.

Strong technical foundation in APIs, system workflows, and AI product architecture.

Associate Product Manager (AI/ML) - Pickyvibe - Delhi

(2025-03 - 2026-05)

• Owned end-to-end product development of AI-powered products from ideation to launch, including defining product vision, roadmap, and feature prioritization.
• Built and shipped a RAG-based Document Intelligence Q&A system from 0→1, enabling instant retrieval across enterprise documents and reducing average query resolution time by an estimated 50–60% compared to manual lookup.
• Designed and launched a multi-agent travel planning product for itinerary generation, hotel recommendations, and budget optimization.
• Wrote PRDs, user stories, and acceptance criteria for AI-first workflows, collaborating closely with engineering for rapid sprint execution.
• Worked on prompt design, workflow architecture, and AI response optimization to improve output quality and reduce hallucinations.
• Defined and tracked product KPIs such as engagement, query resolution, response accuracy, and retention to drive iterative improvements.
• Gathered user feedback and translated insights into product enhancements for continuous iteration.

Consultant Data Analyst - Genpact - Gurugram, India

(2022-05 - 2025-01)

• Developed and deployed Python-based fraud detection models, reducing fraud rates by 15% across financial products.
• Automated ACL-based reporting pipelines and Power BI dashboards, optimizing KPI monitoring and cutting operational workload by 20%.
• Designed and implemented predictive modelling solutions for category sales forecasting, resulting in a 25% increase in revenue.
• Built Python-driven customer segmentation models, enhancing stock clearance rates by 18% through improved targeting strategies.
• Conducted product performance analytics for e-commerce platforms, delivering actionable insights that boosted category revenue and optimized product listing strategies.

MBA - Data Science - Delhi Technological University (2020-10 - 2022)

BTech - ECE - Maharshi Dayanand University