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Koushik Gunjala

Senior AI Engineer specializing in Agentic AI and distributed systems

UnitedHealth GroupUniversity of North Carolina at CharlotteCharlotte, NC4 Years ExperienceSenior LevelWorks On-Site

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LLM/agentic workflow engineer with healthcare domain experience who built a HIPAA-compliant multi-agent RAG system for clinical review automation at UnitedHealth Group, achieving 92% precision and cutting latency 40% through async orchestration and Redis semantic caching. Also has strong data engineering orchestration background (Airflow on AWS EMR with Great Expectations) and a proven clinician-in-the-loop feedback process that improved model faithfulness by 18%.

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Key Strengths

  • Built and deployed agentic RAG system for clinical review automation in production
  • Improved retrieval context recall by 30% and precision to 92% using hybrid search on Azure AI Search
  • Reduced average response time by 40% via async orchestration, parallel execution, Redis semantic caching, and prompt/token optimization
  • Designed reliability framework with modular agent unit tests, curated edge-case datasets, CI/CD regression gating, and RAGAS evaluation
  • Production monitoring of latency/token usage/error rates using Azure Application Insights
  • Delivered HIPAA-compliant LLM workflows in healthcare domain
  • Integrated Great Expectations into Airflow DAGs to enforce data quality in large-scale AWS EMR ETL pipelines
  • Effective collaboration with clinical reviewers; added citation-based explainability and feedback loop that improved faithfulness by 18%

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Experience

Senior AI EngineerUnitedHealth Group · Aug 2024 – Present
Data EngineerWipro · Aug 2021 – Jul 2023
Junior Software DeveloperExposys Data Labs · Jan 2021 – Jul 2021

Education

University of North Carolina at Charlottemaster, Computer Science (2024)

Languages

English

Certifications

Oracle Cloud Infrastructure 2025 Certified Generative AI ProfessionalAWS Certified Data Engineer – Associate

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Koushik GunjalaSenior AI Engineer specializing in Agentic AI and distributed systems