Headline

Building Petavue | Product Manager (0→1)

About

When a product isn't working and nobody can pinpoint why, I'm the person who goes deep. I pull apart every customer conversation, trace every decision, map every variable, and keep going until the real picture shows up. One thing I've noticed across every role: the information you need to make good decisions usually doesn't exist yet. Someone has to see what's missing, build the system to capture it, and then use that evidence to find what actually matters. That's what I naturally do. At Petavue (AI analytics startup), I've been part of the founding team building the product from 0→1. I noticed we had no structured way to understand what was happening with customers, so I built the tracking system from scratch. I spent months inside that evidence and inside the product itself, identifying where the experience broke, where users lost trust, and what the product assumed that customers never agreed to. I don't stop at analysis. I design the product experience itself: mockups, screen flows, the creation pipeline, the verification UX. I designed the AI skill system that replaced hardcoded prompt rules with structured methodology files. The pattern is consistent: take something ambiguous, make it sharp and buildable, design the solution, validate it. The verify-and-publish flow I designed is now in production, and my testing and prompt validation have been part of every release. I work across engineering, customers, sales, and GTM. Today I lead product direction at Petavue, currently driving our shift to a self-serve motion. Before Petavue, I spent two and a half years as M&E lead at a leading mental health organization. No systems existed, no metrics, no protocols. I built the monitoring infrastructure and data pipelines from scratch across multiple programs. Working in hospitals and aftercare homes, understanding what data means in the context of someone's life, is what shaped how I think about products today. My foundation is in mathematics and data science. Psychology (MS, University of Nottingham) trained me to think like a researcher: systematically, methodically, evidence-first. I build prototypes with Claude Code and work through system logic and API integrations comfortably. I don't just use AI systems. I get inside them and design how they should actually work.

Location

Chennai

AI stack

anthropic apis

claude code

codex

gemini

hermes agent

mcp

Work experience

Product Manager at Petavue, Nov 2025 - Present · 10 mos, Early-stage AI analytics startup building a natural language analytics platform for GTM/RevOps teams (B2B). Small founding team, B2B pilots across multiple customers. Currently leading the product direction for Petavue's shift from a sales-led to a self-serve motion: defining the launch strategy, the UX revamp, and the AI skills needed to ship it, and driving the push to grow the customer base (now 10 early B2B customers). Synthesized 150+ customer sessions across pilot accounts and identified the core problem: users loved the speed of AI-generated analytics but couldn't verify results the way they could in Excel. That trust gap was breaking conversion. This finding, along with a strategic diagnosis that surfaced three critical gaps (Control/Debuggability Crisis, Cognitive Overload, Incomplete Value Loop), reshaped the product roadmap and drove the architectural shift to the current system. The redesigned creation experience and verify-publish flow are now what ships to renewing pilot customers. Designed the full creation experience from scratch: 35+ interactive HTML mockups, 14 screen flows for every operation, and a product framework covering terminology, workflow types, and interaction patterns. Ran user scenario analyses to test design decisions before handing to engineering. On the AI side, designed an 8-type skills taxonomy for Sage 2.0, replacing hardcoded prompt rules with structured methodology files. Built the first production skills now live with customers. Designed the verify-and-publish flow (dual AI agent architecture) and wrote the implementation copy engineers used to build it directly. Quality and technical depth across every release: designed test plans covering 30+ scenarios, tracked 100+ findings, validated every prompt before anything reached customers. Deep-dived into both codebases to understand the full system end to end and produced architecture documents used as technical reference by the team.

Product Researcher & Analyst at Petavue, Feb 2024 - Oct 2025 · 1 yr 9 mos, Built the customer feedback infrastructure from scratch: what to track, how to log it, what structure the data needed. Maintained session transcripts across every pilot. This evidence base informed every major product decision. Also led end-to-end delivery of SAGE services, performing deep GTM data analytics for business users, producing analytical reports, and managing the full delivery cycle. Identified fundamental gaps in how the team understood drilldown behavior and query chaining in analytics, bringing clarity that changed how features were designed. Demonstrated to the team how analysts mentally break down complex questions into structured steps, articulating the need for a planner-based approach. The CTO built the execution architecture around this concept. Led the testing team for rigorous end-to-end validation across both. Led LLM benchmarking research comparing model performance across analytical tasks, managing a research team of 5 and publishing findings on TechArxiv. Synthesized pilot feedback across 7 customers and conducted market research for the CEO's fundraising efforts.

Project Manager at XR Labs - The AR VR Company, Jul 2023 - Jan 2024 · 7 mos, Chennai, AR/VR startup building Unity, Blender, and WebGL projects for enterprise clients. Took over a portfolio of 8 AR/VR projects, including 3 that had been stalled for over a year. Brought them to closure through detailed requirements documentation and systematic delivery. Managed up to 5 projects simultaneously, coordinating between engineering teams, company leadership, and customers. This was a deeply customer-facing role. I learned to communicate trade-offs clearly, set realistic expectations, and maintain trust through consistent follow-through. I also became the person who tested every edge case before anything went to a client, a habit that carried forward into everything I've done since.

Monitoring and Evaluation Lead at Banyan Academy of Leadership in Mental Health, Apr 2021 - Jun 2023 · 2 yrs 3 mos, Chennai, Leading mental health organization providing hospital, rehabilitation, and community-based psychiatric care. Designed the Systematic Assessment & Support Plan, a 13-domain person-centered care framework covering health management, personal care, medication, community reintegration, social life, mental health, education, and finance. Administered it to 360 clients across hospital and community settings. It became the central care document used by clinicians for maintaining records and preparing individualized care plans. Built the M&E data infrastructure across 3 programs (NALAM, Home Again, aftercare) from scratch: indicator selection, instrument creation, database management, data quality assurance, cleaning, and analysis. Also built a Zoho Creator application for automated end-to-end data collection covering client case management, HR, and finance modules. Travelled to hospitals and aftercare homes regularly. Administered structured assessments to patients with severe psychiatric conditions. Led a post-hospital research study end-to-end: designed the data collection plan, managed field teams, and provided analytical direction. Managed a team of data management professionals.

Data Analyst at RSA, May 2018 - Oct 2018 · 6 mos, Gurgaon, India, Pricing & Analytics team at a global insurance group. Built an automated end-to-end claims reporting system for Ireland using SAS and Excel VBA, cutting production time by 87%. Integrated marine insurance data across multiple databases. Also built Project Periscope, a real-time R Shiny application that tracked insured cargo ship routes to detect potentially fraudulent claims.

Market Researcher at CRM ACADEMY OF ASIA, Dec 2017 - Feb 2018 · 3 mos, New Delhi Area, India, Conducted market research to build satisfaction indices for parents in schools, patients in hospitals, and electric utility customers in Delhi-NCR. I designed statistically compliant questionnaires for data collection and analysis, which were used in subsequent surveys.

Education

Master of Science, PSYCHOLOGY, University of Nottingham

Bachelor's degree, Mathematics, Loyola College