Rishabh Jain

About Rishabh Jain

Generative AI Engineer with 3+ years of experience in building and deploying LLM-powered enterprise solutions across compliance, automation, and data engineering. Specialized in Retrieval-Augmented Generation (RAG), semantic search, NLP, and Generative AI applications, delivering measurable business impact.At Cognizant, I led the development of a 340B Compliance Assistance platform, where I:Built RAG pipelines with LangChain, GPT-4, FAISS, reducing compliance query resolution from 2 hours → 2 minutes, improving SLA compliance by 80%.Automated 85% of compliance reporting using GPT-4, Streamlit, and Power BI.Deployed Sentence-Transformers + FAISS for 10k+ compliance documents, achieving 92% retrieval accuracy.Created LLM-powered data pipelines that reduced manual validation by 50% and improved accuracy by 20%.Delivered $200K+ annual savings through optimized cloud pipelines and automation.My expertise spans Generative AI, LLMs, and Vector Databases (FAISS, Pinecone, Weaviate), combined with MLOps practices using Docker, Jenkins, AutoSys, AWS SageMaker, Azure, Databricks. I am passionate about scaling AI solutions that transform compliance, automation, and enterprise decision-making. Always open to collaborating on cutting-edge AI initiatives in Generative AI, RAG systems, and enterprise-scale AI adoption.

Experience

1. Generative Ai Engineer

   Cognizant

   Jun 2022 — Present · Indore, IN

   Worked on the 340B Compliance Assistance project, building enterprise-scale Generative AI solutions for compliance automation and reporting. Designed and deployed Retrieval-Augmented Generation (RAG) pipelines using LangChain, GPT-4, and FAISS, reducing compliance query resolution from 2 hours → 2 minutes and improving SLA compliance by 80%.Developed LLM-powered data cleaning pipelines (GPT-4 + Pandas) that reduced manual validation effort by 50% and improved accuracy by 20%. Automated 85% of compliance reporting using GPT-4, Streamlit, and Power BI dashboards with natural language narratives.Implemented semantic search engine using Sentence-Transformers + FAISS across 10k+ compliance documents, achieving 92% retrieval accuracy and enabling faster regulatory workflows. Delivered Streamlit dashboards with natural language Q&A, reducing stakeholder queries by 65%.Containerized applications with Docker, established CI/CD pipelines using Jenkins & AutoSys, and integrated monitoring aligned with AWS SageMaker and Databricks for scalable, production-grade deployments.

Education

• Gyan Ganga Institute of Technology Sciences

  Bachelor of Technology - BTech

  2018 — 2022