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Adithya Chittajallu

Mid-level AI/ML Engineer specializing in LLM systems, MLOps, and Healthcare AI

CVS HealthUniversity of Missouri-Kansas CityRemote, USA5 Years ExperienceMid LevelWorks On-Site

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About

Built and shipped a production-grade agentic RAG system at CVS Health for patient adherence and medication recommendations, processing 20k+ patient records/day. Strong focus on real-world reliability: hybrid retrieval tuned with re-ranking (<400ms latency), strict JSON/schema validation and tool guardrails, and monitoring/drift detection that reduced MTTD from 6 days to 18 hours while improving recommendation accuracy (+8%) and cutting escalations (~23%).

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Key Strengths

  • Shipped production LLM agentic RAG system in healthcare handling 20,000+ patient records/day
  • Reduced response latency to <400ms using hybrid retrieval (BM25 + FAISS) while maintaining quality
  • Improved medication recommendation accuracy by 8% and reduced clinical escalation reviews by ~23%
  • Designed multi-step agent workflow with deterministic state flow, structured JSON outputs, and validation/guardrails
  • Built robust monitoring and evaluation stack (offline evals + online metrics + error analysis) for production agents
  • Implemented drift monitoring across 12 feature distributions, cutting MTTD from 6 days to 18 hours
  • Handled messy multi-source EHR data via schema mapping/validation, idempotency, and safe fallbacks to manual review

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Experience

AI EngineerCVS Health · Mar 2025 – Present
AI EngineerZoho · Jun 2024 – Feb 2025
Junior AI/ML EngineerTata Motors · Jul 2022 – Jul 2023
AI/ML Engineer (Campus Placement)Broadridge · May 2021 – Jun 2022

Education

University of Missouri-Kansas Citymaster, Computer Science (2025)
SRKR Engineering Collegebachelor, Information Technology (2023)

Skills

PythonSQLBashGitPyTorchTensorFlowKerasScikit-learnXGBoostLightGBMHugging Face TransformersOpenAI APILangChainLlamaIndexRetrieval-Augmented Generation (RAG)

Languages

English

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Adithya ChittajalluMid-level AI/ML Engineer specializing in LLM systems, MLOps, and Healthcare AI