Anirudh Sethi
Sr. Data Scientist / AI Research Lead @ NiCE Cognigy | AWS Solutions Architect Certified | Azure Certified | NVIDIA Agentic AI Certified
Pune District
5+ years of work experience
Mar 20251 yr 6 mosPresent
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.
Oct 20231 yr 6 mosMar 2025
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
Mar 20238 mosOct 2023
Dubai, United Arab Emirates
I worked as a Data Scientist and Automation Lead in Cashee.
Sep 20227 mosMar 2023
Aug 20211 yr 1 moAug 2022
Jan 20213 mosMar 2021
Bengaluru
Anirudh’s AI Stack
Education
bachelor of Computer Application (BCA), Computer Programming, Specific Applications
IEC UNIVERSITY
20192 yrs2021
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