Hi, I'm Priyam 👋

Hands-on AI Product Builder

AI products & evals, consumer discovery & growth

Lead Product Manager, Consumer AI at Reliance Intelligence (building across India, US and EU markets since 2019)

I take AI from a customer problem to something running in production.

• In enterprise, that means customer discovery, technical POCs and deployment (70+ accounts, 15 paid POCs at Sitetracker).
• In consumer, it means owning LLM-powered use cases for first-time AI users in India, and architecting the evals that decide what ships.

Data engineer at Deloitte → growth PM at a fintech → enterprise AI at a US SaaS company → today, founding product lead on consumer AI at Reliance Intelligence, building an AI assistant for India's next billion users.

On weekends I build things myself, so I know what the tools can and can't do today.

[📄 View my resume] [💼 LinkedIn] [📧 Email] [✍️ Blog]

Also, some GIT stuff:

priyamraGPT - Overview

Where I've built and learned

Reliance AI

Sitetracker

Refyne

Deloitte

IIM Bangalore

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TLDR:

Sitetracker: 70+ enterprise accounts → ~40 live demos → 15 paid POCs → 7 of 15 expanded contract value within 3 months

Reliance: evals gating what ships across the top 10 use cases · Shipped News experience built with Claude Code + Cowork

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Outcomes TL;DR

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Top 10 use cases eval-gated

LLM judge + human graders, benchmarked vs ChatGPT and Gemini

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0→1 proactive AI agent

Tracks what users follow, speaks only on change

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~20% → ~28% D7 return

A/B tested interlinked News flows

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40K → 120K DAU

Grew engagement with gamified rewards

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$10M+ AI pipeline

Sold AI before building it

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$1.4M+ new ARR

Turned AI & platform into revenue

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Builder at heart

• Architected the eval system our PM org uses as its quality gate to ship
• Ship near-production products and concepts via Claude Code
• A GPT bot I made for my MBA batch hit 95% adoption in 15 days </aside>

Work Experience Outcomes

Pick a company tab.

Reliance Intelligence

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Lead Product Manager, Consumer AI · May 2026 - present

Founding product lead on the consumer AI unit, owning key LLM-powered use cases for first-time AI users. We're building an LLM-powered, voice-first AI assistant for India's next billion users to compete with ChatGPT and Gemini (pre-launch, in beta). A hands-on IC role: I own News and Self-care end to end, architected the evals that gate what ships, and designed the proactive agent layer.

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• Quality gate for the top 10 use cases · Architected LLM evals benchmarked against ChatGPT and Gemini
• 7 in 10 users personalized their alerts · Put users in control of push
• 0→1 proactive AI agent · An assistant that speaks only when something changes
• ~20% → ~28% D7 return rate · A/B tested siloed vs interlinked News flows
• LLM-powered News & Self-care · Own two AI use cases end to end, pre-launch
• Near-production prototypes in code · Shortened design to dev

Deep dives

Evals That Gate What Ships: LLM Judge + Human Graders

Proactive AI Agent: Speaking Only When Something Changes

Configurable Breaking-News Alerts

Building Daily-Habit AI Use Cases for India

Sitetracker

Refyne

Deloitte

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