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Bharath Simha Reddy Kothapeta
Full-Stack Software Engineer specializing in Java, React, and AWS
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Backend-focused Python engineer who builds modular Flask services on AWS and specializes in performance/scalability work across data-heavy APIs. Has concrete wins in query optimization (1.5s to <200ms) and high-throughput async processing (Celery+Redis, ~40% throughput gain), plus experience serving scikit-learn text classification models via containerized REST services and designing multi-tenant data isolation strategies.
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Key Strengths
- Designed modular Flask backends for data validation automation
- Optimized large-dataset API performance via batching and Pandas optimization
- PostgreSQL/SQLAlchemy performance tuning (indexing, profiling, bulk ops, lazy loading)
- Reduced dashboard query latency from ~1.5s to <200ms through query/index redesign
- Productionized ML text-classification services (TF-IDF/Naive Bayes) behind REST APIs
- Reduced ML inference latency by caching models in memory and using batch inference
- Implemented multi-tenant data isolation (row-level vs dedicated schema) based on compliance/scale needs
- Improved throughput (~40%) by offloading heavy jobs to Celery workers with Redis caching
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