Jeevan Kumar

Working as a Senior GenAI Engineer supporting Bayer’s enterprise platforms and internal engineering tools. Designing and developing Generative AI solutions using Python to improve knowledge discovery, automation, and developer productivity. Building LLM-based applications for summarization, contextual search, Q&A, and intelligent assistants across business and technical teams. Implementing Retrieval-Augmented Generation (RAG) pipelines to ensure responses are grounded in enterprise data and documentation. Integrating OpenAI, Azure OpenAI, and Hugging Face models with secure APIs and governance controls. Developing embedding pipelines and managing vector databases (FAISS, Pinecone, Chroma) for semantic search use cases. Collaborating with DevOps, QA, security, and product teams to deploy AI solutions following enterprise compliance standards.

Worked as a Senior GenAI Engineer supporting Mastercard’s enterprise platforms by designing and implementing AI-driven solutions using Python and Large Language Models (LLMs). Built intelligent knowledge and automation systems that enabled contextual search, summarization, and decision support across internal engineering and business workflows. Designed and implemented Retrieval-Augmented Generation (RAG) pipelines to ground LLM responses in enterprise data sources, significantly improving response accuracy and reducing hallucinations. Developed secure, scalable embedding pipelines and integrated vector databases to enable high-performance semantic search and relevance ranking. Integrated OpenAI, Azure OpenAI, and Hugging Face models into enterprise-grade Python services, applying prompt engineering, output validation, and guardrails to meet security, compliance, and quality standards. Collaborated closely with engineering, security, and product teams to ensure responsible AI adoption, CI/CD integration, and reliable production deployments within Agile environments.

Worked as a Senior Software Engineer developing and maintaining Python-based backend services for enterprise and automotive-related applications. Supported business-critical systems by building secure, scalable RESTful APIs and backend components that enabled reliable data exchange across internal platforms and third-party integrations. Collaborated closely with cross-functional teams to translate complex business workflows into efficient technical solutions. Implemented data validation, authentication, and access control mechanisms to meet organizational security and compliance standards. Contributed to Agile development cycles by delivering high-quality features, improving system stability, and supporting continuous integration and deployment processes. Focused on improving code quality and maintainability by refactoring legacy scripts into modular Python components, enhancing performance, readability, and long-term supportability.

Worked as a Software Engineer responsible for designing, developing, and supporting backend applications using Python. Built secure and scalable RESTful APIs to enable smooth integration between enterprise systems and external services. Collaborated with cross-functional teams to analyze business requirements and convert them into reliable technical solutions. Implemented data validation, authentication, and access control mechanisms to ensure application security and data integrity. Actively participated in Agile development cycles, contributing to sprint planning, development, testing, and deployment activities. Improved system performance and maintainability by refactoring legacy code, enhancing logging, and supporting CI/CD processes.