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Srilalitha Subbaswamy
Junior Software Engineer specializing in cloud-native microservices and distributed systems
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About
Backend/ML platform engineer who built an end-to-end news summarization and personalized recommendation system using FastAPI, Redis, and a vector search pipeline (FAISS). Strong in productionizing services on Kubernetes with GitOps (ArgoCD + GitHub Actions), including CI image tagging/publishing and safe rollouts, plus experience migrating EC2 services to containerized orchestration with robust health checks and latency/error monitoring.
Experience
Education
Key Strengths
- End-to-end ownership of backend architecture, data pipelines, and deployment
- Built modular FastAPI services with async endpoints to parallelize inference and I/O
- Implemented caching (summaries/embeddings/trending topics) achieving ~4x latency reduction
- Designed fault-tolerant ETL with validation, fallback parsing, retries, and monitoring/notifications
- Production Kubernetes deployments with Docker + GitHub Actions CI and ArgoCD GitOps rollouts
- Migration experience from EC2-based deployments to containerized/orchestrated environments (ECS/Kubernetes) with health probes and stepwise monitoring
- Real-time streaming pipeline using producer/consumer pattern with consistency controls (idempotency, timestamp ordering) and FAISS index updates
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