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Sowmya Kasu
Mid-Level Software Engineer specializing in Healthcare IT and cloud-native microservices
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About
Backend/ML engineer with healthcare experience at Kaiser Permanente building HIPAA-compliant Java/Spring Boot + GraphQL APIs integrated with Epic HealthConnect, including hands-on reliability/performance debugging using Prometheus/Grafana and resolver-level N+1 elimination. Also built an end-to-end malaria parasite detection ML feature (CNN/R-CNN) with evaluation, guardrails, and workflow integration, and has experience designing robust state-machine-based automation with retries, DLQs, and alerting.
Experience
Education
Key Strengths
- Debugged and reduced GraphQL P95 latency by eliminating N+1 queries via batching/caching (DataLoader pattern)
- Performance tuning using Prometheus/Grafana metrics plus SQL profiling and targeted indexing
- Designed HIPAA-compliant healthcare APIs integrating with Epic HealthConnect
- Built end-to-end applied ML pipeline for malaria parasite detection (data prep through model evaluation and integration interface)
- Designed reliable multi-step workflows using state machines with typed error handling, retries/backoff, and DLQ-based replay
- Improved slow PostgreSQL dashboard queries via composite indexes, denormalizing current status fields, and materialized/cached aggregates
- Production readiness mindset for AI systems: observability, offline eval/regression checks, drift monitoring, fallbacks, and human-in-the-loop
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