---
title: "Nikhil Shinde - Data Scientist - Artificial Intelligence in Pune District | Tal"
description: "Meet Nikhil Shinde, Forward Deployed Engineer AI |GenAI | Agentic AI | AI Consultant based in Pune District. AI stack includes aistudio, anthropic apis, and antigravity. Explore public work links including github."
image: "https://tal.club/meet/nikhil-shinde/share-image"
---

# Nikhil Shinde on Tal

## Headline

Forward Deployed Engineer AI \|GenAI \| Agentic AI \| AI Consultant

## About

As a passionate AI Engineer at IBM India, I specialize in architecting enterprise\-grade AI systems, including multi\-agent frameworks, Retrieval\-Augmented Generation \(RAG\) pipelines, and autonomous AI agents that drive intelligent automation at scale\. With deep expertise in Generative AI, NLP, and cloud\-native architectures, I build production\-ready AI solutions that transform complex business challenges into measurable outcomes\. At IBM, I design and deploy advanced agentic systems leveraging AWS Bedrock, Azure AI Foundry, LangChain, AutoGen, and enterprise LLM ecosystems \(OpenAI, Anthropic, and domain\-specific models\)\. My focus lies in building scalable, secure, and responsible AI systems that integrate seamlessly with enterprise data sources while ensuring governance, transparency, and compliance\. Previously at ACL Digital and Metyis, I delivered impactful AI and analytics solutions across healthcare, e\-commerce, and marketing domains—optimizing marketing spend, improving forecasting accuracy, and building intelligent automation tools that enhanced decision\-making efficiency\. My key strengths include: • Architecting multi\-agent AI systems for enterprise automation and reasoning workflows • Designing scalable RAG pipelines with embeddings, vector databases, and contextual grounding • Building secure NLP\-to\-SQL AI agents with role\-based access control • Developing cloud\-native AI solutions on AWS and Azure with end\-to\-end MLOps pipelines • Implementing Responsible AI practices including governance, fairness, and observability • Driving measurable business impact through advanced analytics, forecasting, and experimentation I am deeply passionate about pushing the boundaries of Agentic AI and Generative AI, and I actively collaborate with cross\-functional teams to translate complex business problems into scalable, production\-ready AI systems\. Always open to meaningful collaborations and high\-impact AI initiatives that shape the future of intelligent automation\.

## Location

Pune District

## AI stack

aistudio

anthropic apis

antigravity

claude code

claude

codex

cursor

deepmind

elevenlabs

gemini

geminicli

github copilot

grok

hermes agent

hugging face

kilocode

langchain

langgraph

langsmith

lovable

manus

mcp

meta

midjourney

n8n

notebooklm

notion

ollama

openai

opencode

perplexity

railway

replit

## Work experience

Data Scientist \- Artificial Intelligence at IBM, Sep 2025 \- Present · 11 mos, Pune District, Maharashtra, India

Senior AI engineer at ACL Digital, Sep 2024 \- Sep 2025 · 1 yr 1 mo, Pune District, Maharashtra, India

Data Scientist at Metyis, Sep 2021 \- Sep 2024 · 3 yrs 1 mo, Bengaluru, Karnataka, India, \-Led advanced analytics projects, providing technical expertise to derive actionable business insights\. \-Enhanced sales across retail, wholesale, and e\-commerce sectors by implementing data preprocessing techniques\. \-Improved machine learning model metrics by refining various use cases\. \-Increased stakeholder process efficiency by 80% through the implementation of intuitive dashboards\. \-Optimized ad spend efficiency by 5% and achieved a 20% growth in channel\-specific returns\. \-Utilized Azure Services and Azure Databricks for scalable data solutions\.

Data Science \-Trainee at SG Analytics, May 2021 \- Aug 2021 · 4 mos, Pune Division, Maharashtra, India, \-Analyzed and generated KPI reports for real\-time monitoring of daily viewership on the OTT platform\. \-Developed KPIs that drove management insights, resulting in actionable execution strategies\. \-Created algorithms to predict customer churn rates, enhancing show recommendations by 2%\.

KPMG Data Analytics Consultant Internship at KPMG Australia, Apr 2021 \- Apr 2021 · 1 mo, Virtual Internship, \-Conducted customer segmentation for marketing campaigns, identifying top 1000 potential customers based on demographic and behavioral patterns\.

## Education

Master of Science \- MS, Liverpool John Moores University

Executive Program in ML and AI, International Institute of Information Technology Bangalore

## Public links

- github: https://github\.com/nikhilshinde08

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

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