Ganesh Krishna

Background

About Ganesh Krishna

AI/ML Engineer and Data Scientist with 5+ years of experience building and deploying production-grade machine learning systems across healthcare and enterprise environments. Currently at mckesson, where I engineer LLM-powered clinical intelligence systems with RAG workflows, improving retrieval accuracy by 18% and reducing clinician decision time by 30%.I specialize in: end-to-end MLOps pipelines (AWS SageMaker, Docker, CI/CD), Generative AI and LLM applications (LangChain, RAG, vector databases, OpenAI API), predictive modeling on large-scale EHR and telemetry data (500K+ records, 10+ TB datasets), and NLP systems achieving 90%+ accuracy.At Dell Technologies, I built real-time inference APIs with sub-150ms latency and reduced rollback incidents by 40% through full MLOps governance. My multi-agent LLM framework achieved 98% accuracy on GSM8K benchmarks using GPT-4 Turbo and Gemini 2.5 Pro. M.S. Computer Science – UT Arlington (GPA: 3.8)| Microsoft Fabric Analytics Engineer | CompTIA Security+Open to: Data Scientist | ML Engineer | AI Engineer | MLOps Engineer roles.