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Arun Ganesh - Software Development Engineer in San Francisco, CA

Arun Ganesh

Junior Software Engineer specializing in healthcare AI and cloud infrastructure

AmazonCal Poly San Luis ObispoSan Francisco, CA3 Years ExperienceJunior LevelWorks Remote

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About

Amazon Health AI engineer who has owned both full-stack clinical product features and production LLM systems end to end. Built HIPAA-compliant GraphQL and agentic RAG architectures for provider workflows across 125,000+ patients, with measurable impact including 30% higher clinical relevance, 55% lower lookup time, and 12% less false medical information.

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Key Strengths

  • End-to-end ownership of full-stack healthcare features
  • Deep healthcare AI and HIPAA-compliant product experience
  • Strong GraphQL and TypeScript architecture
  • Designs APIs around user workflows rather than backend systems
  • Builds safe human-in-the-loop clinical AI systems
  • Agentic LLM architecture with RAG, tools, and structured outputs
  • Production evaluation and regression monitoring for LLM systems
  • Strong grounding and hallucination mitigation practices
  • Performance optimization across distributed systems and AI pipelines
  • Data-driven leadership in ambiguous early-stage environments
  • Reduced API complexity by 68%
  • Reduced security review time by 60%
  • Improved clinician lookup time by 55%
  • Improved clinical relevance by 30%
  • Reduced false medical information by 12%

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Experience

Software Development EngineerAmazon · Jul 2024 – Present
Cloud EngineerAmazon · Jul 2023 – Jun 2024
Cloud Engineer InternAmazon · Jun 2022 – Aug 2022internship

Education

Cal Poly San Luis Obispobachelor, Software Engineering (2023)

Languages

English

Certifications

AWS Certified Cloud PractitionerAWS Certified Solutions Architect – Associate

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Connect with Arun

Arun already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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Arun GaneshJunior Software Engineer specializing in healthcare AI and cloud infrastructure