---
title: "Abhay Singh - AI Product Manager | GenAI, LLMs, RAG, Conversational AI, Voice & Chat Simulation in Greater Bengaluru Area | Tal"
description: "Meet Abhay Singh, AI Product Manager | LLMs, Agentic AI, RAG, Design Thinking, Conversational AI, Agile/Scrum, Product Management based in Greater Bengaluru Area. AI stack includes claude, cursor, and langchain."
image: "https://tal.club/meet/abhay-kant-singh/share-image"
---

# Abhay Singh on Tal

## Headline

AI Product Manager \| LLMs, Agentic AI, RAG, Design Thinking, Conversational AI, Agile/Scrum, Product Management

## About

With over fourteen years of experience in analytics and product management, I lead the product strategy and roadmap for a Generative AI\-powered conversation simulation platform at 27\.ai\. My work focuses on leveraging Large Language Models \(LLMs\) to create scalable and realistic chat and voice simulations, enabling efficient training and onboarding for customer support agents\. Collaborating with engineering and applied AI teams, I drive advancements in areas such as RAG pipelines, STT/TTS systems, and multi\-turn conversational design to replicate real\-world scenarios\. My mission is to empower organizations with cutting\-edge AI solutions that enhance operational efficiency and deliver superior customer interactions\. By integrating data modeling and ETL expertise, I contribute to building seamless feedback loops and optimizing conversational AI performance\. My goal is to push the boundaries of Generative AI to redefine customer support training and engagement\.

## Location

Greater Bengaluru Area

## AI stack

claude

cursor

langchain

langgraph

langsmith

openai

## Work experience

AI Product Manager \| GenAI, LLMs, RAG, Conversational AI, Voice & Chat Simulation at \[24\]7\.ai, May 2024 \- Present · 2 yrs 6 mos, Bangalore Urban, Karnataka, India, Owned product strategy and roadmap for a GenAI\-powered conversation simulation platform using Large Language Models \(LLMs\) to train and onboard customer support agents across chat and voice \(call\) channels\. Led development of LLM\-driven, multi\-turn conversational simulations, including prompt engineering, persona modeling, intent classification, and edge\-case handling to replicate real customer interactions at scale\. Partnered with engineering and applied AI teams to integrate RAG pipelines, STT/TTS systems, voice endpointing and voice orchestration for end\-to\-end chat and call simulations\. Defined and implemented automated feedback loops, conversation evaluation frameworks, and LLM quality metrics \(accuracy, relevance, coherence, sentiment alignment, policy adherence\)\. Drove continuous optimization through conversation analytics, training outcome analysis, and A/B testing to improve simulation realism and agent readiness\. Delivered measurable business impact, including reduced agent ramp\-up time, improved response quality, and consistent customer experience across channels\. Translated business training requirements into scalable, production\-ready GenAI solutions, ensuring model reliability, safety, and governance\.

Business Intelligence Manager at \[24\]7\.ai, May 2022 \- May 2024 · 2 yrs 1 mo, Bengaluru, Led the design and deployment of 200\+ interactive dashboards across Tableau, DOMO, and Apache Superset, enabling data\-driven decision\-making for stakeholders at multiple hierarchy levels including executives, operations leaders, and client teams\. Drove operational efficiency improvements by standardizing KPIs, automating reporting workflows, and optimizing data pipelines across client engagements\. Owned the end\-to\-end migration of 200\+ dashboards from DOMO to Superset on Google Cloud Platform \(GCP\) in under 2 months, including development of 40\+ ETL pipelines in Google BigQuery\. This initiative improved performance, enhanced scalability, and reduced BI platform costs, resulting in \~$400K in annual savings\.

Associate Principal Analytics Consultant at \[24\]7\.ai, May 2018 \- May 2022 · 4 yrs 1 mo, Bengaluru, Karnataka, India, Designed and deployed NLP\-driven intent detection models \(90% accuracy\) to automate first\-touch customer classification and improve response orchestration\. Architected predictive conversion models for proactive chat, driving a 30% uplift in lead conversion through targeted engagement triggers\. Conducted end\-to\-end chat funnel analytics, reduced drop\-offs via conversational flow optimization, UX redesign, and dynamic chat interventions\. Spearheaded enterprise BI migration \(Tableau → Domo\), established new reporting frameworks, and onboarded cross\-functional teams to accelerate data\-driven decision\-making\.

Project Lead at Quantiphi, Inc\., Sep 2017 \- Apr 2018 · 8 mos, Mumbai, Maharashtra, India, Designed and deployed time\-series forecasting models that improved sales prediction accuracy by 25%, enabling better inventory and workforce planning\. Built predictive risk models for food safety compliance, uncovering operational and environmental drivers of inspection failure and score degradation\. Analyzed underwriting strategy effectiveness through book\-of\-business health metrics, loss ratio evaluation, and risk segmentation modeling\. Engineered loss propensity models to identify high\-risk policy characteristics and inform underwriting and pricing decisions\. Led pricing elasticity modeling initiatives to balance growth and profitability through data\-driven premium optimization\.

Apprentice Leader at Mu Sigma Inc\., Jul 2015 \- Sep 2017 · 2 yrs 3 mos, Bengaluru Area, India, Facilitated sales team of the advertising company monetize weather and location data through sales to multiple enterprises\. Generated insights on regular performance and provided rapid\-impact analyses to various business groups by liaising with the central analytics team of a leading tech firm and improve its performance\. Also optimized the investment on different digital campaigns using visitor profiling and learning from the past performance of campaigns

Senior Business Analyst at Mu Sigma Inc\., Jul 2013 \- Jun 2015 · 2 yrs, Bangalore, Team lead managing analytics delivery for a Fortune 500 pharmaceutical company’s Field Force team Managed delivery for sales team tracking the performance of various drugs and call plan execution at various levels of hierarchy\. Lead a team of 6 Decision Scientists in scoping projects in the above said areas, developing work plans, design and representation of analyses, driving work streams individually and owning all project deliverables\. Served as an analytics coach for Mu Sigma University in the areas of , data visualization, quality assurance, Tableau, SQL and Excel\. Mentored new Inductees and trained them on end to end execution of a mock project

Business Analyst at Mu Sigma Inc\., Mar 2012 \- Jun 2013 · 1 yr 4 mos, Bangalore, Individual contributor for a Fortune 500 pharmaceutical company’s Analytics Center of Excellence team Translated business requirements to analytical requirements and further played a crucial role in developing an analytical methodology to solve the business problems in clinical trials, service management and enterprise solutions Developed a tool to forecast the patients participation in clinical trials and study completion dates based on historical performance of the sites

## Education

Bachelor of Engineering \(BE\), Electronics and Communications Engineering, Rajiv Gandhi Prodyogiki Vishwavidyalaya

[View the original profile](https://tal.club/meet/abhay-kant-singh)

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