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Sai Macherla

Mid-level Full-Stack Java Developer specializing in Healthcare and Financial Services AI

Mayo ClinicRowan UniversityRochester, MN4 Years ExperienceMid LevelWorks Remote

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About

Built and shipped production LLM/RAG systems at Mayo Clinic, including a conversational AI assistant for patient pre-consultation and a clinical-trial matching tool for doctors. Implemented HIPAA-compliant de-identification and guardrails, plus real-time feedback logging and fine-tuning that improved response accuracy by 15% and reduced admin workload by 25%.

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Key Strengths

  • Shipped production conversational AI assistant end-to-end (MVP → launch → iteration) in healthcare setting
  • Implemented RAG pipeline with Pinecone for fast/accurate clinical note retrieval
  • Built real-time feedback logging and iterative fine-tuning loop; improved response accuracy by 15%
  • Reduced administrative workload by 25% through automation
  • Designed LLM guardrails: de-identification, HIPAA-compliant storage/processing, encryption, access controls, low-confidence flagging for review
  • Ran LLM evaluation loops using real user questions; used eval results to improve retrieval logic and increase answer quality
  • Built scalable data pipeline for messy data using Python + Kafka with monitoring and batch processing for cost/latency balance

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Experience

Java Full Stack DeveloperMayo Clinic · Jan 2025 – Present
Java Full Stack DeveloperEquitable · Mar 2023 – Dec 2024
Java DeveloperCognizant · Jul 2021 – Jul 2022

Education

Rowan Universitymaster, Cybersecurity
Jawaharlal Nehru Technological University, Hyderabadbachelor, Computer Science

Languages

English

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Connect with Sai

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Typically responds within 24 hours

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Sai MacherlaMid-level Full-Stack Java Developer specializing in Healthcare and Financial Services AI