Hi, I’m Surya Teja Kommuguri, a backend-focused software engineer with 4+ years building distributed, event-driven systems across healthcare EHR and enterprise platform domains. I design and ship production-grade Python and Java services that handle high-throughput clinical workflows, and I love building scalable microservice architectures with observable, resilient pipelines.\n\nI currently contribute to GE HealthCare’s engineering platform layer, enabling mission-critical diagnostic imaging workflows. I enjoy collaborating with ML teams to integrate LangChain-based summarization into clinical report generation and continually improving reliability, performance, and security.

Surya Teja Kommuguri

Hi, I’m Surya Teja Kommuguri, a backend-focused software engineer with 4+ years building distributed, event-driven systems across healthcare EHR and enterprise platform domains. I design and ship production-grade Python and Java services that handle high-throughput clinical workflows, and I love building scalable microservice architectures with observable, resilient pipelines.\n\nI currently contribute to GE HealthCare’s engineering platform layer, enabling mission-critical diagnostic imaging workflows. I enjoy collaborating with ML teams to integrate LangChain-based summarization into clinical report generation and continually improving reliability, performance, and security.

Available to hire

Hi, I’m Surya Teja Kommuguri, a backend-focused software engineer with 4+ years building distributed, event-driven systems across healthcare EHR and enterprise platform domains. I design and ship production-grade Python and Java services that handle high-throughput clinical workflows, and I love building scalable microservice architectures with observable, resilient pipelines.\n\nI currently contribute to GE HealthCare’s engineering platform layer, enabling mission-critical diagnostic imaging workflows. I enjoy collaborating with ML teams to integrate LangChain-based summarization into clinical report generation and continually improving reliability, performance, and security.

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Experience Level

Expert
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Work Experience

Software Engineer II – Platform Engineering at GE HealthCare
August 1, 2025 - Present
Designed and shipped Python / FastAPI microservices supporting real-time diagnostic imaging data ingestion; reduced end-to-end pipeline latency by 38% through async refactor and Redis caching layer. Instrumented distributed tracing across 6 platform services using OpenTelemetry and Datadog APM; reduced mean time to detect (MTTD) on production incidents by 52%. Architected event-driven workflow using Apache Kafka for device telemetry streaming; sustained 120K+ msgs/sec throughput with sub-100ms p99 latency. Owned containerization and deployment of 4 backend services on Kubernetes (EKS); standardized Helm chart templates adopted across 3 adjacent teams. Built internal observability dashboard in Grafana surfacing SLI/SLO metrics for 5 platform APIs; directly enabled SRE team to cut alert noise by 40%. Contributed to HIPAA-compliant data access layer in PostgreSQL; implemented row-level security and audit logging to satisfy enterprise compliance requirements. Collaborated with ML team to i
Full-Stack Software Engineer – EHR Platform (MedAssist & CareCoordinator Products) at HealthPlix Technologies
April 1, 2021 - December 31, 2023
Built prescription and SOAP note generation modules in Django / Python for MedAssist EHR; processed 2M+ monthly prescriptions with 99.9% uptime SLA. Designed RESTful API layer serving CareCoordinator mobile clients; reduced average API response time from 420ms to 95ms via query optimization and PostgreSQL index tuning. Migrated monolithic patient record service to event-driven architecture using RabbitMQ; decoupled 5 downstream consumers and eliminated shared-state bottleneck. Integrated FHIR R4 data exchange standards across MedAssist patient timeline; enabled interoperability with 3 partner hospital networks and cut manual data sync effort by 65%. Implemented structured logging and alerting using ELK Stack; built dashboards tracking prescription failure rates and clinician session anomalies. Owned CI/CD pipeline on GitHub Actions for 2 products; reduced deployment cycle from 3 days to 4 hours and introduced automated regression test suite covering 85% of API surface. Developed React

Education

Master of Science in Information Technology at Arizona State University
January 1, 2024 - December 31, 2025

Qualifications

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Industry Experience

Healthcare, Software & Internet, Professional Services