---
title: "Amey Talkatkar - Principal Data Scientist in Mumbai | Tal"
description: "Meet Amey Talkatkar, Principal AI/ML Architect | $4M+ Impact Through GenAI & Production ML Systems | Driving Enterprise AI Transformation | Industry Speaker & Educator | 16+ Years | AWS, GCP, LLMs based in Mumbai."
image: "https://tal.club/meet/amey-talkatkar/share-image"
---

# Amey Talkatkar on Tal

## Headline

Principal AI/ML Architect \| $4M\+ Impact Through GenAI &amp; Production ML Systems \| Driving Enterprise AI Transformation \| Industry Speaker &amp; Educator \| 16\+ Years \| AWS, GCP, LLMs

## About

Strategic AI/ML leader with 16\+ years architecting enterprise\-grade production systems delivering $4M\+ quantifiable business impact\. Currently Principal Architect at Harman Connected Services, leading revenue\-generating ML delivery and strategic GenAI innovation initiatives\. WHAT I DO I architect and deploy production ML systems at scale—from time series forecasting for national utility providers to real\-time anomaly detection across 400\+ servers\. GenAI &amp; LLM Implementation: Built AWS Bedrock agentic AI solutions, evaluated 15\+ GenAI technologies \(OpenAI, Anthropic, Pinecone, Cohere\), established enterprise RAG architectures—influencing $50K\+ AI investment decisions through strategic vendor evaluations\. Production ML Impact: Energy forecasting \(85% accuracy improvement, $1M\+ annual value\) \| Server monitoring AI \(60% faster detection, 30% cost reduction\) \| CLTV forecasting \($12\.4M revenue opportunities\) \| MLOps optimization \(95% inference cost reduction\)\. Innovation &amp; Research: Actively explore emerging AI technologies and architectural patterns to stay at the forefront of GenAI adoption\. Conduct evaluations of vector databases, LLM providers, embedding models, and RAG vs\. fine\-tuning approaches—building frameworks applicable to enterprise AI challenges\. LEADERSHIP &amp; TEAM BUILDING Manage 4 direct reports; grew team 2→6 over 18 months\. Mentor 10\+ engineers; 25% productivity improvement\. Serve on Harman's AI/ML interview panel; evaluated 50\+ candidates, contributed to 15\+ hires\. Lead cross\-functional initiatives \(15\+ engineers\)\. THOUGHT LEADERSHIP &amp; EDUCATION Guest lecture at academic institutions on industry readiness for Data Science students\. Conduct technical workshops for professionals on MLOps, GenAI, and RAG architectures\. Share knowledge on Prompt Engineering, LLM Evaluation, and production ML best practices\. TECHNICAL FOUNDATION Cloud &amp; MLOps: AWS \(SageMaker, Bedrock\), GCP \(Vertex AI, BigQuery\), Docker, Kubernetes \| GenAI: OpenAI, Anthropic, LangChain, Vector DBs \(Pinecone, FAISS, Weaviate\), RAG \| ML: PyTorch, TensorFlow, XGBoost, Prophet, Time Series, Anomaly Detection \| Python \(expert\), SQL EDUCATION MS in AI &amp; ML \- Liverpool John Moores \(Merit, 2024\) \| PG Programme \- IIIT Bangalore \(Distinction, 2023\) \| Thesis: "ITSM Ticket Classification using Transformers" WHAT DRIVES ME I thrive at the intersection of cutting\-edge technology and tangible business outcomes—solving hard problems that create real value\. Open to strategic leadership opportunities in AI/ML architecture, GenAI implementation, and enterprise AI transformation\.

## Location

Mumbai

## Work experience

Principal Data Scientist at HARMAN India, Apr 2023 \- Present · 3 yrs 2 mos, Pune District, Maharashtra, India, PRINCIPAL DATA SCIENTIST &amp; ML ARCHITECTURE LEAD Harman Connected Services · Apr 2023 \- Present · Pune, India Lead enterprise ML delivery \($6M\+ client value\) and GenAI innovation\. Team: 4 direct reports \+ 15\+ cross\-functional engineers \| Budget: $1M\+ ML/Cloud infrastructure\. PRODUCTION AI SYSTEMS Energy Load Forecasting – National Utility \($750k\+ Value\) Architected AWS SageMaker MLOps pipeline: 85% accuracy improvement, 95% cost reduction through serverless architecture\. Refactored client's legacy notebooks into production\-grade MLOps codebase\. Tech: AWS SageMaker, Lambda, Prophet, XGBoost, Docker, Grafana\. Status: 6\+ months production \| 12M\+ daily predictions \| 99\.7% uptime\. Recognition: EXCELLENCE Award Server Monitoring AI – Enterprise SaaS \($500K\+ Value\) Designed GCP Vertex AI anomaly detection: 60% faster MTTD, 2\.5\-min real\-time detection, preventing 40% of incidents\. Conducted technical demos and solution presentations to client\. Tech: GCP Vertex AI, Pub/Sub, Cloud Functions, BigQuery\. Impact: $50K\+ loss prevention, 30% cost reduction\. Recognition: SPOT Award\. CLTV Forecasting – Retail \($12\.4M Impact\) Prophet/XGBoost framework: 35% accuracy gain, $12\.4M revenue opportunities, 28% marketing optimization\. Built automated validation pipelines \(Snowflake \+ Airflow\)\. Presented to CMO shaping FY2024 strategy\. Agentic AI Unit Test Generator AWS Bedrock \(Claude Sonnet 4\): 60% efficiency gain, integrated into CI/CD\. Organization\-wide MLOps standard\. GENAI INNOVATION &amp; EVALUATION Conduct strategic assessments of emerging GenAI technologies\. Evaluate and prototype solutions: OpenAI, Anthropic, AWS Bedrock, vector databases \(Pinecone, FAISS, Weaviate\), RAG systems, multi\-model routing, semantic caching\. Build POCs demonstrating technical feasibility and ROI\. Present analyses to leadership influencing $50K\+ AI investments\. LEADERSHIP Manage 4 direct reports; grew team 2→6\. Mentor 10\+ engineers\. Serve on interview panel\. Lead cross\-functional teams\.

SENIOR PRODUCT DEVELOPER &amp; DATA SCIENTIST at BMC Software, Jan 2016 \- Apr 2023 · 7 yrs 4 mos, Pune Division, Maharashtra, India, Progressive growth: Product Developer → Senior Developer → Data Scientist, demonstrating increasing technical leadership and client\-facing responsibilities\. KEY ACHIEVEMENTS: ITSM Ticket Classification System \(Product\-Specific Deployment\) \- Developed ML\-powered routing system deployed across BMC's database automation product \(10\+ clients\) \- Improved routing accuracy 85%, reduced response times 50% \(BERT \+ traditional ML ensemble\) \- Optimized resource allocation: 40% faster resolution, 35% throughput increase \- Research formalized in Master's thesis: "Automatic ITSM Ticket Classification using Transformers" Tech: Python, BERT, scikit\-learn, AWS SageMaker, PostgreSQL Database Automation Platform Development \- Architected 10\+ critical features; 30% time\-to\-market reduction \- Eliminated 75% technical debt; 45% reduction in production incidents \- Optimized query performance; 60% transaction throughput improvement \- Led team of 5 \(2 developers, 1 content specialist, 2 QA\) Pre\-Sales &amp; Customer Success \(Client\-Facing Role\) \- Technical sales consultant for new logo acquisitions: demos, POCs, feasibility assessments \- Contributed to 12\+ deals \($500K\-$2M average contract value\) \- Led post\-sales consulting; maintained 95%\+ CSAT, 80\+ NPS for 3\+ years \(40\+ clients\) \- Conducted quarterly business reviews with customer IT leadership \(VPs, Directors\) \- Onboarded whole new UK client \($600K deal\) as technical expert and pre\-sales consultant Leadership: \- Mentored 5 junior engineers \- Led escalation resolution; 40% efficiency improvement \- Coordinated with Product, Engineering, Support; 40% development efficiency gain Awards: GO\-RILLA Award \(New Logo Acquisition\), Marvel Awards \(Innovation\), Customer Champion Award

Technical Lead \- DEVOPS &amp; AUTOMATION at Addteq \(now enreap\), Jun 2015 \- Dec 2015 · 7 mos, Pune District, Maharashtra, India, \- Led infrastructure automation using Puppet, Docker, Vagrant; automated 50\+ server environments for internal and client POCs \- Designed end\-to\-end CI/CD pipelines \(Maven, Ant, Git\); conducted solution presentations to enterprise clients contributing to DevOps adoption across IT transformation programs

TECHNICAL LEAD – AUTOMATION FRAMEWORKS at Cognizant Technology Solutions, Aug 2013 \- Jun 2015 · 1 yr 11 mos, Pune/Pimpri\-Chinchwad Area, \- Architected cross\-platform automation frameworks \(Perl, Python, VBScript\) for Swiss financial services provider; reduced manual testing efforts by 70% \- Led 25\-member testing team as backup manager; mentored junior engineers on automation best practices and test strategy design \- Developed real\-time incident dashboards improving infrastructure visibility and operational KPIs by 35% Awards: Customer Champion Award for exemplary client engagement and quality deliverables

MODULE LEAD – SYSTEM MIGRATION &amp; PERFORMANCE OPTIMIZATION at Infosys Limited, Apr 2012 \- Aug 2013 · 1 yr 5 mos, Pune/Pimpri\-Chinchwad Area, \- Re\-engineered Java\-based LDAP extraction tool into high\-performance Perl system for American bank; reduced data fetch time from 7\-8 hours to under 2 hours \(75% improvement\) \- Led end\-to\-end project delivery: migration, deployment, post\-release support across large\-scale identity data systems Award: Above &amp; Beyond, Customer Champion Awards for exemplary client engagement and quality deliverables

## Education

Master of Science \- MS, Machine Learning &amp; AI, Liverpool John Moores University

Executive Post Graduate Programme in Machine Learning and Artificial Intelligence, International Institute of Information Technology Bangalore

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

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