Jagadeesh User
@jagadeeshuser4
I build secure, scalable GenAI systems using LLMs, RAG, and cloud data platforms.
United StatesWhat I'm looking for
At IBM, I design and deploy enterprise Generative AI solutions using GPT-4, Azure OpenAI, LangChain, RAG, FAISS, and Snowflake across 600K+ enterprise records. I built hybrid retrieval pipelines for more than 1M documents and reduced inference latency from 4.2 seconds to 2 seconds.
At United Health Group, I developed HIPAA-compliant GenAI healthcare applications across 3M+ healthcare records, improving clinical insight generation accuracy by 39%. I strengthened retrieval, prompt governance, PII masking, audit logging, and explainable AI reporting for trusted healthcare intelligence.
Earlier at Accenture, I built machine learning and NLP pipelines with Python, SQL, PySpark, Apache Spark, and Kafka. I focus on production-ready AI systems with LLMOps, monitoring, drift detection, governance, and secure cloud controls.
Experience
Work history, roles, and key accomplishments
Designed and deployed enterprise Generative AI solutions using GPT-4, Azure OpenAI, LangChain, RAG architecture, FAISS, and Snowflake, supporting AI-driven decision workflows across 600K+ enterprise records. Developed advanced prompt engineering frameworks and optimized LLM performance, reducing inference latency from 4.2 seconds to 2 seconds.
Education
Degrees, certifications, and relevant coursework
University of Central Missouri
Master of Science, Data Science
Pursued a Master of Science in Data Science at the University of Central Missouri.
Vellore Institute of Technology
Bachelor of Technology, Computer Science Engineering
Earned a Bachelor of Technology in Computer Science Engineering from Vellore Institute of Technology.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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