---
title: "Anirudh Sethi - Senior Data Scientist / Lead in Pune District | Tal"
description: "Meet Anirudh Sethi, Sr. Data Scientist / AI Research Lead @ NiCE Cognigy | AWS Solutions Architect Certified | Azure Certified | NVIDIA Agentic AI Certified based in Pune District. AI stack includes cursor and opencode."
image: "https://tal.club/meet/anirudh-sethi/share-image"
---

# Anirudh Sethi on Tal

## Headline

Sr\. Data Scientist / AI Research Lead @ NiCE Cognigy \| AWS Solutions Architect Certified \| Azure Certified \| NVIDIA Agentic AI Certified

## About

AWS Solutions Architect and Microsoft Cloud Azure Certified Full\-stack Data Scientist with experience buinding AI Solutions and automating web, mobile and more\. ISTQB Certified X3 and more \- Domain expertise: AI, Healthcare, Banking & Logistics \- AWS Solution Architect certified\. \- Microsoft Azure DevOps,Jenkins, Docker\) and Performance testing \(Jmeter\) \- Experience working in Agile environment\. I strongly believe in giving my 100% towards every opportunity that comes my way and especially love learning about new technologies as I have been interested in tech since a very young age\. Passion\- Poster/logo designing using Photoshop, Event Management, DJing, Hydroponics, Social media account management, Custom ROMS\(phone\), phone rooting, football and more

## Location

Pune District

## AI stack

cursor

opencode

## Work experience

Senior Data Scientist / Lead at NICE, Mar 2025 \- Present · 1 yr 6 mos, Pune District, At NiCE, I lead advanced initiatives in AI and data science, driving the development and deployment of next\-generation Large Language Models \(LLMs\), Small Language Models \(SLMs\), Agentic AI applications and Retrieval\-Augmented Generation Systems \(RAG\)\. My role spans the full AI lifecycle, from research and model creation to real\-world implementation and impact assessment\. Key Responsibilities & Focus Areas: \-> Design and Deployment of LLMs & SLMs: Building, fine\-tuning, and operationalizing Large Language Models \(LLMs\), Small Language Models \(SLMs\), and custom AI solutions for enterprise applications\. \-> Agentic AI Solutions: Architecting intelligent agent systems capable of autonomous reasoning, contextual adaptation, and dynamic task completion\. \-> Retrieval\-Augmented Generation \(RAG\): Integrating cutting\-edge retrieval methods with generative models to deliver high\-accuracy, real\-time business insights\. \-> Advanced NLP & NLU: Applying state\-of\-the\-art techniques in Natural Language Processing \(NLP\) and Natural Language Understanding \(NLU\) to power AI\-driven business solutions\. \-> MLOps and Model Operations: Ensuring robust, scalable, and production\-grade AI systems using best practices in MLOps, CI/CD, and cloud\-native deployments \(AWS, Azure, GCP\)\. \-> AI Research & Experimentation: Exploring the latest advancements in generative AI, transformer architectures, prompt engineering, model evaluation, and vector databases \(e\.g\., Pinecone, FAISS\)\. \-> Enterprise AI Transformation: Collaborating with cross\-functional teams to solve high\-impact business problems, automate workflows, and deliver measurable results through AI innovation\. \-> Continuous Learning: Staying ahead of industry trends and adopting emerging technologies, including synthetic data generation, responsible AI, multimodal models and more\.

Data Scientist at Eli Lilly and Company, Oct 2023 \- Mar 2025 · 1 yr 6 mos, Bengaluru, Karnataka, India, At Eli Lilly, I led the development of full\-stack production AI applications, scaling them from concept to enterprise\-ready solutions\. My work primarily focused on module development for Agentic AI, Conversational AI, Retrieval\-Augmented Generation \(RAG\), and image generation systems\. I leveraged automation for Web, API, and Mobile applications, along with real\-time data processing and performance monitoring under the AI@LILLY initiative\. Beyond my core responsibilities, I identified key problem statements across teams and designed 13 AI applications/modules to address these challenges\. These solutions were well\-received, leading to their conversion into full\-stack production applications, a process I led in collaboration with cross\-functional teams\. My relentless work ethic\-no weekends off, no holidays, no leaves\-and commitment to impactful AI solutions drove operational efficiency and business value, earning multiple accolades: 1\. Comanche Award 2\. You have Earned it award X2 3\. Rise award X2 4\. Rise team award X2

Data Scientist at Cashee, Mar 2023 \- Oct 2023 · 8 mos, Dubai, United Arab Emirates, I worked as a Data Scientist and Automation Lead in Cashee\.

Software Engineer \- AI & Automation at VNC Digital Services Pvt Ltd, Sep 2022 \- Mar 2023 · 7 mos

Artificial Intelligence Engineer at VNC Digital Services Pvt Ltd, Aug 2021 \- Aug 2022 · 1 yr 1 mo

AI & Automation Intern at VNC Digital Services Pvt Ltd, Jan 2021 \- Mar 2021 · 3 mos, Bengaluru

## Education

bachelor of Computer Application \(BCA\), Computer Programming, Specific Applications, IEC UNIVERSITY

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

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