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Gagan Reddy Konani

Mid-level Machine Learning Engineer specializing in LLMs and RAG for healthcare

Remote, USAAI Engineer2 years experienceMid-LevelHealthcareHealthcare ITMedical Devices
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About

AI Engineer (Medtronic) who deployed a production RAG-based clinical assistant grounded in curated biomedical literature (no patient-identifiable data). Deep hands-on experience orchestrating and hardening LLM workflows with LangChain/LangGraph, including stateful agentic flows, rigorous testing, and evaluation; reports a 72% accuracy improvement through retrieval enhancements (query rewriting, multi-query expansion, MMR reranking).

Experience

AI EngineerMedtronic
Machine Learning Engineer InternTempus AI
Applied AI EngineerComcast

Education

University of Illinois at Chicago (UIC)master, Computer Science (2025)
Birla Institute of Technology and Science (BITS) - Pilanibachelor, Computer Science (2023)

Key Strengths

  • Built and deployed a production RAG-based medical chatbot for healthcare professionals
  • Improved retrieval performance via query rewriting, multi-query expansion, and MMR reranking (reported 72% accuracy boost)
  • Strong focus on reliability: structured agent/workflow design with Pydantic I/O and multi-level testing (unit/integration/regression)
  • Pragmatic model/retrieval/prompt selection driven by constraints (accuracy, latency, cost, risk) with offline evaluations
  • Experience operationalizing agentic workflows with LangGraph (state, branching, retries, failure recovery)
  • Effective cross-functional collaboration with clinicians; iterated via demos/prototypes and translated needs into technical design

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Languages

English

Skills

AgileAmazon API GatewayAmazon CognitoAmazon DynamoDBAmazon EC2Amazon IAMAmazon LambdaAmazon RDSAmazon S3Amazon CloudWatchAmplify Gen 2API DesignAPI GatewaysAuthenticationAuthentication Mechanisms