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Harish Jamallamudi
Mid-level Software Engineer specializing in GenAI and machine learning systems
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About
Backend/AI engineer with deep healthcare experience building production Python microservices that turn raw clinical audio into structured notes and insights. They owned systems end-to-end across architecture, launch, monitoring, and incident response, with measurable impact including 40% lower operating costs, 22% better latency, and 99.9% uptime in a regulated environment.
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Key Strengths
- End-to-end ownership of AI backend systems in healthcare
- Built cloud-enabled Python microservices for structured clinical note generation from raw audio
- Reduced operational cost by 40% through infrastructure optimization
- Improved system latency by 22% for clinical insights workflows
- Designed for 99.9% uptime in a high-stakes healthcare environment
- Strong applied AI integration across transcription, LLMs, RAG, and biomarker pipelines
- Balances reliability, scalability, latency, and developer velocity with pragmatic architecture decisions
- Shipped ambiguous early-stage AI products by defining MVP scope from direct user interviews
- Strong observability and monitoring practices using Prometheus, Grafana, and LangSmith
- Incident ownership and root-cause analysis on production data pipeline race conditions
- Embedded compliance, privacy, and security into development workflows
- Cross-functional collaboration with nursing, legal, and compliance stakeholders
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Experience
Education
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Publications
1 publication
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