---
title: "Harshit Shukla - AI Product Manager in Bengaluru | Tal"
description: "Meet Harshit Shukla, AI Products - Product Manager @ Verizon || LLM EVAL Expert || BITS-PILANI based in Bengaluru. AI stack includes claude code, hugging face, and langchain. Explore public work links including youtube.com."
image: "https://tal.club/meet/harshit-shukla-1/share-image"
---

# Harshit Shukla on Tal

## Headline

AI Products \- Product Manager @ Verizon \|\| LLM EVAL Expert \|\| BITS\-PILANI

## About

Product Manager with 8\+ years of experience building AI\-native and data\-driven platform products across Telecom, Fintech ,Blockchain and Cybersecurity actively looking out for opportunities \. Experienced in defining product requirements, supporting platform roadmaps, Forward Deployed Engineering FDE, Agentic AI Mixture of Experts \(MoE\) and collaborating with cross\-functional teams to deliver scalable SaaS solutions focused on operational efficiency, user experience, and customer needs\. Familiar with AI platform capabilities and possess the ability to navigate complex decision\-making environments\.Strong analytical foundation in Python, SQL, A/B experimentation\. I’ve led full 0→1 product cycles — from user discovery and problem framing to roadmap execution and feature delivery — with a strong bias toward outcomes, experimentation, and insight\-driven decision\-making\. Currently at 𝗩𝗲𝗿𝗶𝘇𝗼𝗻 as an 𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿, I drive AI\-powered sales productivity by leading LLM evaluation strategy\. I partner closely with AI and Data Science teams to design rigorous evaluation frameworks, benchmark model performance, and optimize generative AI deployments that accelerate sales workflows and enhance rep efficiency\. Earlier at 𝗣𝗬𝗢𝗥, I led product for: \(A\) Xray\- a crypto analytics platform for institutional investors\. I’ve owned the full product lifecycle helping drive a 2x revenue increase while positioning Xray as a differentiated, cost\-effective alternative to premium tools\. \(B\) PulseChain AI\- an end\-to\-end LLM product that turns raw crypto metrics into natural\-language decision frameworks for portfolio managers\. I built a full\-stack system \(LangChain, LangGraph, FastAPI, CI/CD\) with features like NAV attribution, convexity flags, and scenario simulation reducing time\-to\-insight by 80%\. Earlier at 𝗖𝗼𝗶𝗻𝗦𝘄𝗶𝘁𝗰𝗵, I worked as a Product Analyst for CoinSwitch Pro, where I designed user analytics dashboards, ran cohort analyses, and led growth experiments and optimized GTM strategies to increase user engagement\. I’m adept at combining product thinking with data depth — fluent in SQL, Python, Amplitude, Figma, and agile tools like JIRA\. With deep understanding of Distributed systems, cloud\-native architectures, and SDLC, my strength lies in building from first principles and systems thinking\. 🎓 Continuous Upskilling: Advanced Digital Transformation \| Indian Institute of Management Ahmedabad \(IIMA\) AI Product Management \| Duke University Advanced Data Science \| IBM Cybersecurity Specialization \| Macquarie University

## Location

Bengaluru

## AI stack

claude code

hugging face

langchain

langgraph

langsmith

claudecode

## Work experience

AI Product Manager at Verizon, Aug 2025 \- Present · 1 yr 1 mo, Greater Hyderabad Area, Leading strategy and execution of an Agentic Enterprise Support Copilot , building a scalable AI orchestration framework to automate and optimize internal support workflows and Forward Deployed Engineering \(FDE\) initiatives: >>Reduced MTTR by 20–25% \(\~$400K annual efficiency impact\) by launching an Agentic Enterprise Support Copilot powered by Gemini 4\.0\(Vertex AI\)\. >>Scaled automation to 40% of inbound support interactions, increasing resolution speed and SLA adherence through conversational intake and intelligent routing\. >>Improved response accuracy by implementing RAG pipelines \(embeddings & vector search\) over structured enterprise knowledge sources\. >>Enabled extensible multi\-step agent workflows with Model Context Protocol \(MCP\) powered orchestration layer for structured tool invocation\. >>Improved measurable LLM response quality \(relevance, intent precision, factuality\) through evaluation frameworks and A/B experimentation\. >>Drove execution of AI platform roadmap by owning prioritization, stakeholder alignment, and cross\-functional delivery governance\. >>Wrote requirements for RAG and multi\-agent systems; implemented safety guardrails in product specs and conducted basic red\-teaming and ensured data compliance\. >>Partnered with data scientists and ML engineers ;Produced clear HLD with architecture context and LLD with data flows and edge cases ; Owned PRDs and AI platform roadmap; governed API contracts, drove internal adoption enablement\. >> Designed structured prompts with system instructions, examples and guardrails; tests across edge cases; implemented function\-calling\. >> Led forward deployed engineering initiatives by embedding with enterprise support and operations teams to rapidly prototype, customize, and productionize AI workflows aligned to real\-world business processes\.

Product Manager \(Data and AI\) at PYOR, Jun 2023 \- Aug 2025 · 2 yrs 3 mos, Bengaluru, As a Product Manager, I led the development of Xray, a crypto analytics platform for institutional investors, where I took the product from 0→1 — owning discovery, roadmap, and execution\. Key Contributions: • Conducted 20\+ user interviews with VC analysts to uncover key pain points • Defined product roadmap based on insights from qualitative research • Delivered features like chart builder, alerts, and Google Sheets API • Led bi\-weekly sprints and backlog grooming using Scrum and Jira • Built SQL dashboards covering 90% of DEX trading across EVM chains • Designed value\-based pricing to undercut costly competitors • Ran competitive analysis to guide feature and GTM decisions Architected PulseChain AI, an end\-to\-end AI product turning on\-chain metrics into natural\-language decision frameworks for crypto Portfolio Mngrs: • Designed and built a full\-stack AI product that generates natural\-language portfolio insights for lean crypto funds, based on PYOR’s token metric CSVs and real\-world user workflows\. • Reduced time\-to\-insight by 80% and improved decision clarity using LLMs to detect, summarize, and simulate risk across token holdings\. • Delivered high\-signal features like convexity flags, NAV attribution, and Sharpe\-like filters, enabling focused weekly review workflows\. • Designed a full\-stack evaluation framework: signal detection precision, prompt fidelity, and LLM hallucination control \(<5%\)\. • Achieved key success KPIs: 95%\+ LLM insight relevance and 65%\+ signal hit rate\. • Modeled the copilot on 20\+ institutional PM workflows, investor memos, and fund reporting patterns observed during my time at PYOR, drawing from direct user interviews, dashboard usage data, and internal crypto AUM research\.

Product Analyst at CoinSwitch Kuber, Feb 2022 \- Jun 2023 · 1 yr 5 mos, Bangalore Urban, Karnataka, India, As a Analyst at Coinswitch, I supported the growth and analytics for CoinSwitch Pro, a trading platform for advanced users, where I worked closely with product, marketing, and engineering teams to drive user engagement and retention\. Key Contributions: • Designed automated KPI dashboards to track engagement and feature adoption • Built a Root Cause Analysis tool, saving 6\+ hours/week of manual analysis • Conducted cohort analysis that improved CTR by 30% and conversions by 10% • Executed Trading Leagues to boost retention and drive user activity • Optimized GTM campaigns, reducing marketing costs by 15% • Provided data insights to shape roadmap decisions and feature prioritization >Worked cross\-functionally to align product changes with business outcomes

Associate Product Analyst at Cognizant, Jul 2021 \- Jan 2022 · 7 mos, Gurugram, ● Supported SOC : SecOps and operational monitoring activities for enterprise client platforms, assisting with alert tracking, access governance, incident coordination, and workflow management within security\-focused environments\. ● Collaborated with cross\-functional teams to support XDR/SIEM/SOAR\-based operational workflows, contributing to process automation, reporting accuracy, issue resolution, and cyber threat monitoring across enterprise systems\. ● Worked closely with senior stakeholders supporting incident response and threat investigation workflows and helping maintain data integrity

Assistant Product Manager 2 at Asics Technologies, Jun 2018 \- Jul 2021 · 3 yrs 2 mos, Managed the product backlog, grooming user stories and defining acceptance criteria to ensure engineering teams had clear sprint priorities\. Created and maintained dashboards to track key performance indicators \(KPIs\), delivering weekly insights on product adoption to stakeholders Created clear documentation, including meeting summaries and project briefs, keeping cross\-functional stakeholders aligned\.\. Acted as the liaison between engineering, design, and marketing teams to ensure successful, on\-time delivery of Product Features\. Managed end\-to\-end Salesforce system performance, ensuring uptime, data accuracy, and access control across client projects\.

## Education

Master of Engineering \- MEng, BITS Pilani, Hyderabad Campus

Bachelor of Engineering, Beant College of Engg\. & Tech\., Gurdaspur

## Public links

- youtube\.com: https://youtube\.com/@productshala

[View the original profile](https://tal.club/meet/harshit-shukla-1)

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