Nikhil  Shinde profile photo 1 on Tal

Nikhil Shinde

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

Pune District

5+ years of work experience

IBM
Sep 202511 mosPresent

Pune District, Maharashtra, India

ACL Digital
Sep 20241 yr 1 moSep 2025

Pune District, Maharashtra, India

Metyis
Sep 20213 yrs 1 moSep 2024

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.
SG Analytics
May 20214 mosAug 2021

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 Australia
Apr 20211 moApr 2021

Virtual Internship

-Conducted customer segmentation for marketing campaigns, identifying top 1000 potential customers based on demographic and behavioral patterns.

Nikhil’s AI Stack

aistudio
aistudio
anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
claude
claude
codex
codex
cursor
cursor
deepmind
deepmind
elevenlabs
elevenlabs
gemini
gemini
geminicli
geminicli
github copilot
github copilot
grok
grok
hermes agent
hermes agent
hugging face
hugging face
kilocode
kilocode
langchain
langchain
langgraph
langgraph
langsmith
langsmith
lovable
lovable
manus
manus
mcp
mcp
meta
meta
midjourney
midjourney
n8n
n8n
notebooklm
notebooklm
notion
notion
ollama
ollama
openai
openai
opencode
opencode
perplexity
perplexity
railway
railway
replit
replit

Education

Liverpool John Moores University

Master of Science - MS

Liverpool John Moores University

20231 yr2024
International Institute of Information Technology Bangalore

Executive Program in ML and AI

International Institute of Information Technology Bangalore

20221 yr2023

Join Nikhil and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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