Ritesh Patil

About Ritesh Patil

Masters in Data Science with AI and NLP specialization and always ready to learn more and gain knowledge in Large Language Models, NLP and AI. With an overall 4.6+ years of experience and part of AI Center of Excellence at NTT Data, I have been working on multiple cutting edge technologies and delivering successful projects for clients related to Generative AI at Capgemini.Experience and Skillsets- Experience in Prompt Engineering and Prompt Tuning the Large Language Models for clients usecases- Experience in building RAG solutions and its optimization- Experience in building solutions with Large Language Models from OpenAI, Anthropic, OpenSource etc- Experience in building a Production Grade AI Chatbot which can do Q&A as well as trigger pipelines using Natural Language which is Based On GenAI using AWS Bedrock Large Language Models- Experience with hands-on on AWS Athena, AWS Sagemaker, AWS EC2, AWS Jumpstart, AWS Bedrock- End to End pipeline building for A2B code convertors and Infrastructure migration using Python, AI and NLP- Data Extraction from structured and unstructured documents- Metadata Extractor Building using Python and Streamlit- Good knowledge of ETLs, hand-on experience in building ETLs on Informatica, Snowpark Java/Python/Scala, Alteryx, Dataiku- Basic hands-on Snow SQL and Snowflake- Hands-on experience in Azure Pipeline building, Databricks, Azure Blob storage, Azure ML studio.\"LEARNING NEVER STOPS UNTIL YOU DIE!\"

Experience

1. Digital Engineering Sr Engineer Genai

   NTT DATA, Inc.

   Oct 2025 — Present · Mumbai, IN

   Lead end-to-end design and delivery of production-grade GenAI applications using Python, RAG pipelines, LLM orchestration, and agentic AI frameworks.Architect and deploy scalable vector search infrastructure on Azure (Container Apps, AKS) with Vectordb, and enterprise-grade security.Drive technical strategy for embedding model evaluation, reranking systems, and retrieval optimization across on-prem and cloud environments.Build and maintain Streamlit-based UIs and FastAPI microservices for real-time LLM interactions, streaming responses, and multi-agent workflows.Establish code quality standards, CI/CD pipelines, and containerization best practices using Docker, Poetry, and GitHub version control.Design data pipelines and semantic layers on Databricks with automated extraction from Azure Blob Storage and Excel sources.Collaborate cross-functionally to deliver secure, scalable, and user-centric GenAI solutions aligned with business objectives.Mentor engineers on RAG system design, prompt engineering, vector database operations, and Python development best practices.

Education

• Mumbai Educational Trust, MET League of Colleges

  Diploma of Education, Mechanical Engineering

• International Institute of Information Technology Bangalore

  Postgraduate Degree, Data Science

• Liverpool John Moores University

  Master's degree, Data Science

• GURU GOBIND SINGH FOUNDATIONS GURU GOBIND SINGH COLLEGE OF ENGINEERING, & RESEARCH CENTRE, KHALSA EDUCATIONAL COMPLEX, GURU GOBIND SINGH MARG

  Bachelor's degree, Mechanical Engineering