Product Manager â AI & Automation
Prabhav Mhapne
I turn ambiguous problems into shipped, measurable outcomes.
I turn ambiguous problems into shipped, measurable outcomes.
Prototypes demonstrating product thinking, AI integration, and measurable impact
Product teams drown in multi-channel feedbackâsupport tickets, surveys, app reviews, sales callsâspending hours manually tagging, clustering, and prioritizing themes. Critical pain points get lost in noise.
Built an AI agent that ingests feedback from multiple sources, uses semantic clustering to identify patterns, and surfaces ranked themes with supporting evidence. Dashboard shows top pain points, sentiment trends, and confidence scores.
Operations teams face unexpected equipment failures that halt production lines, causing costly downtime and rushed part orders. Reactive maintenance erodes margins and customer trust.
Designed a predictive analytics dashboard that monitors sensor streams in real-time, flags anomalies using ML models, and forecasts component failures. Integrated alerts trigger proactive parts planning and maintenance scheduling.
PMs spend significant time drafting PRDsâgathering context, structuring requirements, identifying edge cases, and aligning stakeholders. Inconsistent specs slow engineering teams and increase rework cycles.
Created an AI assistant that generates data-backed PRD drafts from input prompts, includes requirement completeness checks, surfaces potential risks, and suggests testable hypotheses. Templates ensure consistency across product org.
Thoughts on product strategy, AI workflows, and discovery practices
AI hype doesn't equal value. Here's how to validate AI features before wasting engineering cycles on solutions nobody asked for.
Read more âTraditional PRDs slow teams down. Here's how to write lightweight, outcome-focused specs that engineering actually reads.
Read more âMoving fast in discovery often means cutting corners on validation. How to find the right balance without faking speed.
Read more âAI agents aren't just for customer support. Explore practical ways product teams can automate repetitive workflows.
Read more âEngineering backgrounds help PMs in surprising waysâand hurt in others. Lessons from my transition into product.
Read more âOpen to PM roles, consulting opportunities, or just a conversation about product and AI.