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Narendra R
Senior Full-Stack Java Developer specializing in microservices and cloud platforms
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About
Backend engineer focused on scalable Python/Flask services and high-performance PostgreSQL/SQLAlchemy systems, with demonstrated wins like reducing N+1-driven response times to under 200ms and cutting P95 latency below 1s via background queues and caching. Has production experience operationalizing ML models as Dockerized APIs on AWS (S3/Lambda) with monitoring (CloudWatch/ELK), plus robust multi-tenant isolation using JWT-driven tenant context and row-level security.
Experience
Education
Key Strengths
- Designs scalable stateless Flask services (easy horizontal scaling behind load balancers)
- Improves performance by offloading long-running work to background workers with job-status APIs
- Strong SQLAlchemy/PostgreSQL optimization (indexes, eager/lazy loading, pagination, connection pooling, read replicas)
- Proven ability to eliminate N+1 query patterns and cut response times to <200ms
- Production ML integration experience (Dockerized model APIs behind API gateways with logging/monitoring)
- Reliability engineering for ML services (timeouts, async handling, retries, circuit breakers, fallbacks)
- Multi-tenant data isolation expertise (tenant context via JWT, RLS/roles/views, schema/db isolation when needed)
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