---
title: "Naman Pant - Associate Project Manager - AI Delivery in Bengaluru | Tal"
description: "Meet Naman Pant, AI Product & AI Operations | Building toward AI Product Manager | I ship production AI bots enterprises trust | Conversational AI · LLMs · Multi-Agent Systems · Prompt Architecture · QA @ Kapture CX | KapHacks 5 🏆 based in Bengaluru. AI stack includes antigravity, claude code, and..."
image: "https://tal.club/meet/naman-pant/share-image"
---

# Naman Pant on Tal

## Headline

AI Product & AI Operations \| Building toward AI Product Manager \| I ship production AI bots enterprises trust \| Conversational AI · LLMs · Multi\-Agent Systems · Prompt Architecture · QA @ Kapture CX \| KapHacks 5 🏆

## About

Hey LinkedIn people 👋 I ship production AI bots that enterprises in BFSI, e\-commerce, and microfinance actually trust — from prompt architecture to the QA systems that prove they work\. At Kapture CX I own AI delivery across live conversational AI products: WhatsApp bots, voice bots, and multi\-agent LLM systems handling real customer interactions at scale\. What that's looked like: \* Designed multi\-agent architectures \(orchestrator \+ specialist agents\) with region\-specific logic and guardrails against bad AI behavior, iterating prompts through 12\+ versions off live session data \* Built a UAT automation system — a FastAPI dashboard with Playwright browser automation, an LLM\-as\-judge evaluator, and a 73\-case test suite — and presented it to our CPO and CEO \* Built Python integrations wiring bots to live logistics APIs and CRM systems, debugging production issues under deadline pressure \* Built the benchmarking framework for a Hindi/Hinglish voice bot, scoring intent accuracy, latency, and factual correctness against India\-specific sources \* Won KapHacks 5 🏆 \- built a prompt library, now shipped in the Kapture product, that configures voice\-bot prompts by vertical \(BFSI, EdTech, and more\) I sit where product judgment meets technical execution — deciding how a bot should behave, building the systems that make it behave that way, and proving it with data\. Open to Technical Program/Project Manager \(AI\) and AI Product Manager roles — where technical depth and measurable outcomes both matter\.

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

cursor

gemini

github copilot

## Work experience

Associate Project Manager \- AI Delivery at Kapture CX, Apr 2026 \- Present · 7 mos, Own end\-to\-end delivery of conversational AI products for enterprise clients across BFSI, e\-commerce, and microfinance — from prompt architecture through production QA\. \- Designed and version\-controlled multi\-agent chatbot architectures \(orchestrator \+ specialist sub\-agents\) for WhatsApp bots handling refunds, order status, and shipment tracking across multiple enterprise clients, including region\-specific eligibility logic and guardrails against unreliable AI behavior \- Built Python\-based tool integrations connecting bots to live third\-party APIs \(shipment/logistics tracking\) and internal CRM ticketing systems for a cross\-border logistics client, including status\-code mapping logic and a Bahasa Indonesia orchestrator prompt \- Built and led a benchmarking framework for an outbound Hindi/Hinglish voice bot, scoring performance on call intent accuracy, latency, transcription mirroring, and factual accuracy against India\-specific sources \- Built and maintained a QA scoring system evaluating bot empathy and contextual response quality across hundreds of staging conversations, surfacing failure patterns before they reached production \- Debugged and resolved production issues across the bot stack — including a webhook error, JavaScript formatting bugs, and authentication/config mismatches between staging and production environments \- Audited and corrected 19 client\-facing configuration touchpoints, improving reliability of client chat entry points \- Queried and analyzed platform audit logs to debug client\-specific traffic issues, establishing more reliable logging practices for the delivery team

Management Trainee \- Ai\-Ops at Kapture CX, Jun 2025 \- Apr 2026 · 11 mos, Executed AI operations and conversational AI delivery across multiple enterprise clients, building foundational prompt architecture, solution documentation, and QA benchmarking systems for chatbot and voice bot products\. \- Built and delivered end\-to\-end solution documentation for a multi\-flow WhatsApp chatbot, covering seven distinct conversational flows from client requirement to technical specification \- Established foundational prompt engineering conventions for a production chatbot — including plain\-text WhatsApp formatting rules, banned\-phrase guardrails, and a region\-detection priority chain — later scaled across multiple client deployments \- Debugged and corrected backend integration functions \(ticket creation/update\), resolving authentication, endpoint, and payload mismatches between staging and production environments \- Built and iterated a Hindi/Hinglish outbound voice bot, fixing language\-detection logic, call\-flow bugs, and script\-generation rules to improve conversational reliability \- Produced client\-facing QA benchmark reports scoring voice bot performance on intent accuracy, latency, and factual correctness against India\-specific data sources \- Restructured and analyzed a client ticket dataset to identify root\-cause patterns, presenting findings via a structured summary report to leadership \- Built a project tracker mapping 30\+ delivery tasks across 5 phases for a multi\-workflow client onboarding, used to track cross\-functional execution \- Prototyped a behavioral AI concept \("Customer Twin"\) for a leadership\-facing demo, including a working dashboard interface and backend architecture — presented to CTO\-level stakeholders

Business Analyst at The White Mulberry, Feb 2025 \- Jun 2025 · 5 mos, Noida, Uttar Pradesh, India

Deep Learning Engineer at AI4M Technology Private Limited, Jun 2024 \- Dec 2024 · 7 mos, Pune District, Maharashtra, India, I am excited to start my new role as a Deep Learning Engineer Intern at AI 4M Technology, where I'll be working on cutting\-edge AI projects and gaining and analysing hands\-on experience in advanced machine learning techniques\.

Deep Learning Engineer at AI4M Technology Pvt\. Ltd\., Jun 2024 \- Dec 2024 · 7 mos, •​ Defined success metrics and problem scope for a manufacturing forecasting product; improved accuracy by 20% and reduced data pipeline processing time by 30%​

Co\-Convener at Coding Club SRMAP, Aug 2023 \- Jun 2024 · 11 mos

## Education

Bachelor's degree, Computer Software Engineering, SRM University, AP

kendriya vidyalaya

## Public links

- github: https://github\.com/1412naman

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

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