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Nehal Mahankali
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
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Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.
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Key Strengths
- Designed modular Flask backends using blueprints and a service-layer pattern
- Performance-focused PostgreSQL/SQLAlchemy optimization (partitioning, indexing, N+1 avoidance, column selection)
- Built low-latency, real-time transaction REST services
- Integrated ML scoring into production backends with separated scoring services and feature pipelines (Postgres + Redis)
- Implemented multi-tenant data isolation with ORM/API enforcement and premium-tenant isolation strategies
- Scaled high-throughput systems via per-tenant connection pool and caching tuning to reduce support issues and improve query performance
- Event-driven and async processing experience (Celery, Kafka-style architecture)
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