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Prateek Patil

@prateekpatil1

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I build AI-enabled products from discovery through launch, using user research, analytics, and Agile delivery.

India

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What I'm looking for

I'm looking to build AI-enabled, user-focused products where I can own discovery through launch, use data and user research to guide decisions, and collaborate closely with engineering, design, and business teams.

At LearniLM World, I define product strategy and roadmaps for a language-focused edtech marketplace, leading discovery, requirements, launches, and UAT for 90 pilot users and 60 trainers. I align a 30-person cross-functional team through PRDs, OKRs, backlog prioritization, and release communication, sustaining 90% sprint delivery adherence.

Previously at Onelab Ventures, I launched a browser-based MVP for an AI driver-safety platform that improved driver safety metrics by 15%. I combine user research, product analytics, technical specifications, AI prototyping, and go-to-market work; I’ve also trained 450+ students in data analytics and BI.

Experience

Work history, roles, and key accomplishments

Current

Product Manager & Founding Team Member

Current

LearniLM World

Sep 2025 - Present (1 year)

Defined and executed product strategy and roadmap for a language-focused edtech marketplace, aligning cross-functional teams and driving platform adoption through growth campaigns. Owned backlog, sprint planning, and feature lifecycles, sustaining 90% sprint delivery adherence and onboarding 60 trainers.

Product Strategy Roadmapping PRD文档撰写 OKRs Agile Scrum Sprint Planning Backlog Management Jira UAT Generative AI User Research Go To Market Strategy Stakeholder Management Instagram Facebook

Product Management Intern

Onelab Ventures

Feb 2025 - Jul 2025 (5 months)

Contributed to a B2B SaaS AI-powered driver safety platform, delivering a 15% improvement in safety metrics by launching a browser-based MVP with real-time alerts. Ran sprint planning, backlog grooming, and retrospectives, and wrote technical specifications for computer vision model integration.