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Arthi R
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
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About
Backend engineer with fintech/banking experience (e.g., Canara Bank) building secure Python/Flask microservices for financial reporting and unified data access. Strong in Postgres/SQLAlchemy performance optimization (including materialized views) and in productionizing ML services on AWS (Lambda/ECS/CloudWatch) with Docker, model registries, and blue-green deployments, plus multi-tenant isolation via JWT-based middleware.
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Key Strengths
- Designed modular Flask backend using blueprints to isolate reporting/audit modules and scale independently
- Centralized shared auth/logging/DB utilities to keep microservices consistent and reduce redundancy
- SQLAlchemy/PostgreSQL performance tuning (indexes, lazy/column loading, bulk ops, query profiling)
- Replaced heavy joins with pre-aggregated materialized views; reported major API response-time reduction
- Integrated AI/ML into production backend on AWS (Lambda/ECS/CloudWatch) with containerized model deployments
- Production ML reliability practices: versioned model registry + blue-green deployments for safe rollouts/rollback
- Multi-tenant security enforcement via tenant-aware middleware and JWT tenant validation
- High-throughput optimization using async background processing, batching, caching, and pre-computation; reduced peak latency to <500ms and lowered DB CPU load
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