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KARTHIKBABU VADLOORI
Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices
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About
Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).
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Key Strengths
- Scaled backend services to millions of daily requests with predictable latency
- Refactored monolith/heavy services into domain-focused stateless microservices enabling horizontal scaling
- Achieved ~40% reduction in API latency through architectural changes and concurrency optimization
- Improved database-backed endpoint performance (~35% API response time reduction) via SQLAlchemy/Postgres tuning (indexes, joins, N+1 elimination)
- Productionized ML inference via Flask APIs with containerized, horizontally scalable deployments (Docker/Kubernetes)
- Designed multi-tenant data isolation strategies (db-per-tenant, schema-per-tenant, shared schema + tenant IDs + RLS) for regulated/sensitive data
- Optimized background processing with Celery + Redis and caching to cut task processing time by 40%+ and reduce DB load
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