Jagadish Pillutla
Gen Ai Engineer @Blue Cross Blue Shield Association
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WORK HISTORY
Gen Ai Engineer @Blue Cross Blue Shield Association
Chicago, IL, US
Design, develop, and deploy Generative AI solutions to solve complex business problems using large language models (LLMs) and foundation models.Build LLM-powered applications such as chatbots, copilots, and intelligent assistants for enterprise use cases.Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enable secure, accurate, and context-aware knowledge retrieval.Develop prompt engineering strategies and optimize LLM performance for accuracy, latency, and cost efficiency.Integrate vector databases and search technologies to support semantic search and document intelligence solutions.Develop NLP pipelines to process and analyze unstructured data such as documents, clinical notes, financial records, and customer interactions.Deploy GenAI solutions using cloud-native architectures and APIs, ensuring scalability, reliability, and security.Implement MLOps and LLMOps practices including versioning, monitoring, CI/CD, and governance for production systems.Collaborate with product, data, and business stakeholders to translate GenAI use cases into production-ready solutions.Ensure responsible AI practices, data privacy, and enterprise compliance across all GenAI implementations.Stay current with emerging GenAI technologies and frameworks to continuously improve solution quality and business impact.
EDUCATION
Siddhartha Institute of Engineering & Technology.
Computer Science and Engineering
ABOUT JAGADISH PILLUTLA
GenAI and AI/ML Engineer with 10+ years of experience building and deploying production-ready artificial intelligence solutions across healthcare, financial services, telecom, and aviation domains.I specialize in designing LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, and scalable machine-learning platforms that solve real business problems. My experience spans the full AI lifecycle—from data engineering and model development to MLOps, cloud deployment, and enterprise adoption.My core expertise includes Generative AI and LLM solutions such as RAG, prompt engineering, LangChain, and LlamaIndex; machine learning and deep learning models for prediction, classification, and NLP; NLP and document intelligence for clinical, financial, and unstructured data; cloud-native AI and MLOps using Docker, Kubernetes, MLflow, and CI/CD; and large-scale data processing using Spark and streaming platforms.I have delivered measurable business impact through population health insights, fraud and risk detection, personalized customer experiences, and data-driven decision-making for large enterprises.Known for strong problem-solving skills, clear communication, and close collaboration with product, engineering, and business teams, I enjoy turning complex ideas into scalable, secure, and high-value AI solutions.Open to GenAI Engineer, AI/ML Engineer, and Machine Learning Engineer opportunities
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