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Rasmi ranjan PatnaikRP
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Rasmi ranjan Patnaik

@rasmiranjanpatnaik

I build AI-powered SaaS products that turn customer pain points into measurable growth.

India
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What I'm looking for

I'm seeking Product Manager, AI Product Manager, or Technical Product Manager roles where deep customer understanding and rapid iteration drive growth.

At Auxy AI, I own the roadmap for an AI Ticketing & Escalation platform, partnering with AI/ML, Engineering, Design, and Customer Success to take products from discovery through QA. I optimized RAG pipelines and prompt orchestration, reducing daily human escalations from 20–35 to 5–9 tickets.

I also led the PRD and delivery of automated escalation workflows, RBAC, intelligent routing, and an Excel bulk-import capability that reduced enterprise provisioning from days to minutes. My work combines customer discovery, RICE prioritization, sprint execution, and go-to-market delivery.

As the founder of Reffconnect, I built an AI-powered referral marketplace from 0→1. I designed and A/B tested a credit-based referral model that delivered 78% higher referral acceptance and 6× engagement, while defining verification, monetisation, AI matching, and growth strategy.

Previously at Scaler, I led discovery, roadmap planning, and PRD authoring for AI products including CareerLift AI, a Resume Readiness Analyzer, and an Alumni Match Engine. I enjoy turning ambiguous user problems into focused roadmaps, shipped experiences, and measurable product outcomes.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Kalinga Institute of Industrial Technology (KIIT) logoKK

Kalinga Institute of Industrial Technology (KIIT)

Master of Computer Applications, Computer Applications

2022 - 2024

Grade: CGPA: 7.89

Pursued a Master of Computer Applications, achieving a CGPA of 7.89.

Berhampur University logoBU

Berhampur University

Bachelor of Science, Botany

2019 - 2022

Grade: CGPA: 7.24

Completed a Bachelor of Science in Botany (Honours), achieving a CGPA of 7.24.

Tech stack

Software and tools used professionally

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