---
title: "Nripendu Sharma - Product Consultant in Bengaluru | Tal"
description: "Meet Nripendu Sharma, AI Product Manager | B2B SaaS | Shipped 0→1 AI/ML platform ($1M revenue impact, 35K users) | Agentic AI, LLM, RAG, AI Evals | Ex-Talview (Cisco, Nvidia) | Building Voyogo in public based in Bengaluru. AI stack includes antigravity, claude code, and claude."
image: "https://tal.club/meet/nripendu-sharma/share-image"
---

# Nripendu Sharma on Tal

## Headline

AI Product Manager \| B2B SaaS \| Shipped 0→1 AI/ML platform \($1M revenue impact, 35K users\) \| Agentic AI, LLM, RAG, AI Evals \| Ex\-Talview \(Cisco, Nvidia\) \| Building Voyogo in public

## About

I build AI Products that survive contact with production, in the places most people find too messy, too regulated, or too hard to fix and I get them working at scale\. Currently: Product Consultant for an AI/ML enforcement platform for UPPCL \(35k\+ consumers\) that I took from 0 to 1\. Highlights: LLM reasoning over consumption and enforcement data, RAG pipeline, and an evals framework I designed before we shipped\. Results: $1M revenue uplift, 20 MW/quarter theft reduction, 35K field officers using it across 20 districts\. Before this: Product Manager for online exam and job interviews platform Highlights: Owned candidate experience for Cisco, Nvidia, and Cambridge Assessment and more, launching the revamped Candidate Experience app\. Results: \+29 NPS, 40% faster onboarding\. Before that: Product Manager for E\-governance file management at Magnus IT across 14\+ state government clients\. Highlights: Owned Digital File Management System \(DFMS\) to reduce turn around time \(TAT\) by digitizing the workflow\. Results: Grew customer retention from 15% to 45% & reduced TAT by 60% by starting every decision with the user's actual problem\. What I actually do differently: I write the behavior spec and evals before the feature\. I build hands\-on with Claude Code: my current build in public project is Voyogo, a shared\-diary travel app where I'm running the full AI lifecycle \(spec → evals → golden dataset → real users\) in the open\. The range is the part I'm proudest of\. I've shipped deeply technical, data\-driven systems in GovTech and polished, user\-obsessed customer experiences in HRTech and I've learned the principles travel\. Start with the user\. Earn trust through transparency\. Prove the value before you scale it\. Close the loop so the product keeps getting better\. I came into product from a business analyst foundation, which means I think in requirements, stakeholders, and evidence not just vision\. I'm as comfortable in a discovery interview as in a PRD, an executive OKR review, or a sprint with engineers\. Open to IC AI PM roles \| Bengaluru preferred \| AI Product Management, LLM Applications, RAG, AI Evals, Prompt Engineering, 0\-to\-1, Enterprise SaaS If you're building something genuinely hard and you want an AI Product Manager who's done it in the trenches, across strategy, go\-to\-market, and the unglamorous work of adoption \- let's talk\. I write about AI product management & how it's changing everyday from my POV at nripendusharma\.substack\.com I can be contacted at: ✉ nripendusharma@outlook\.com

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

codex

cursor

lovable

## Work experience

Product Consultant at Uttar Pradesh Power Corporation \( Uppcl \), Aug 2024 \- Present · 2 yrs 1 mo, Lucknow, Uttar Pradesh Power Corporation \(UPPCL\): Led product for a first\-of\-its\-kind, state\-wide AI/ML enforcement and revenue\-recovery platform, owning strategy, roadmap, and 0 to 1 delivery from concept to scaled rollout across 20 districts\. •Drove $1M \(14%\) ARR uplift in 2 years by scaling ML\-driven theft detection and streamlining bill\-recovery workflows, turning fragmented field operations into measurable collections\. •Shipped an AI\-assisted enforcement MVP to 35K\+ field officers across 20 districts in 6 months\. Led structured user discovery with frontline officers and IAS\-level leadership, translating field observations into a prioritized spec built on consumption anomalies, meter data, and geolocation signals\. •Unlocked project funding post\-MVP by designing a high\-fidelity prototype that turned an abstract AI vision into a tangible product, architected around transparency\-by\-design \(audit trails, traceable model\-assisted actions\) to meet anti\-corruption policy\. •Owned 0 to 1 AI product strategy and roadmap end to end\. Authored PRDs, model behavior specifications, and API integration specs that lifted operational efficiency from 15% to 38% and aligned enforcement teams behind a single release sequence\. •Led a cross\-functional team of 12 engineers and 2 designers against clear OKRs, replacing manual revenue tracking with an auditable system of record that drove a 15% increase in realized revenue\. •Directed an external technology vendor as an embedded extension of the product team\. Set sprint cadence, delivery SLAs, and acceptance criteria that kept iterative ML releases predictable and on\-quality\. Built a closed\-loop evaluation system feeding post\-enforcement outcomes back into model improvement, lifting detection precision from no prior detection capability to 23% and cutting power theft by 20 MW \(7% of regional load\)\.

Product Manager at Talview, 2022 \- 2023 · 1 yr, Bengaluru, Owned Candidate Experience for enterprise clients across 15\+ countries, accountable for candidate satisfaction, onboarding, and adoption in AI\-powered online assessments\. Lifted CSAT 35% within 3 months of relaunch\. •Lifted NPS by 29 points to \+65 through an end\-to\-end candidate app redesign\. Instrumented score tracking to isolate the highest\-friction moments and prioritized fixes with an impact\-to\-effort framework\. •Led migration of the Candidate Experience off legacy systems for 100K\+ candidates at Cambridge Assessment, Cisco, and Nvidia, delivering a 35% reliability gain while revamping the UX, proving platform investment and customer outcomes are not a tradeoff\. •Cut candidate time\-to\-value by 40% via a friction\-audit\-led onboarding redesign\. Instrumented the activation funnel, eliminated 3 high\-abandonment steps, and validated with A/B tests across 11 cohorts\. •Increased feature adoption by 56% by analyzing behavioral usage data in Mixpanel to pinpoint engagement decay, shipping personalized re\-engagement triggers that deepened weekly active usage from 38% to 63%\. •Owned go\-to\-market for the redesigned experience across global enterprise accounts through a phased, enablement\-led launch, meeting WCAG 2\.1 AA accessibility requirements that unlocked new enterprise accounts\.

Product Manager at Magnus IT Solutions Pvt\. Ltd\., 2018 \- 2022 · 4 yrs, Lucknow Area, India, Owned product for a Digital File Management System \(DMS\) that replaced paper\-based government workflows with a digital\-first platform driving retention, discovery, and platform competitiveness across 14\+ state government clients\. •Spearheaded user retention for the DMS across 14\+ state government clients digitized manual workflows to cut document turnaround time 60% and reduce churn 5%\. •Pioneered product discovery, interviewed key user personas and prioritized OKRs around real user problems lifting Customer Retention Rate from 15% to 45%\. •Established a competitive moat that became the \#1\-cited reason for a 25% renewal\-rate increase in post\-purchase surveys and revamped the platform to meet the technical specifications required to win the government tender \(L1 qualification\)\.

Business Analyst at Magnus IT Solutions Pvt\. Ltd\., 2016 \- 2018 · 2 yrs, Lucknow, •Elicited and documented business requirements across stakeholder groups and ran structured interviews and translated needs into detailed BRDs, user stories, and process flows that aligned business and engineering teams and cut rework by 35%\. •Analyzed operational workflows and usage data to surface inefficiencies recommended data\-backed process improvements that reduced turnaround time by 26%, building the user\-centric, problem\-first instinct that led to my transition into product management\.

## Education

Executive MBA, Business Administration and Management, General, SVKM's Narsee Monjee Institute of Management Studies \(NMIMS\)

Bachelor of Engineering \- BE, Civil Engineering, Ramaiah Institute Of Technology

[View the original profile](https://tal.club/meet/nripendu-sharma)

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