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Amarnath Araveti
Mid-level Backend Software Engineer specializing in cloud-native microservices and FinTech systems
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Backend engineer with Accenture and EY experience building multi-tenant financial/compliance platforms in Python/Flask. Strong in performance and scalability work across SQLAlchemy/PostgreSQL (EXPLAIN ANALYZE, indexing, N+1 fixes) and in reliability improvements using Celery + Redis. Has integrated external AI model APIs for document extraction/invoice validation with robust background processing, retries, and output cleaning.
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Key Strengths
- Designed and maintained Python/Flask backend for multi-tenant financial workflows using clean service-layer architecture
- Deep SQLAlchemy performance tuning (eliminated N+1 with selectinload/joinedload; field selection; pagination)
- PostgreSQL query tuning using EXPLAIN ANALYZE and targeted indexing (e.g., tenant_id/status/created_at; composite indexes)
- Multi-tenant data isolation and leak prevention via tenant scoping and tenant-specific config tables
- High-throughput reliability improvements by offloading long-running work to Celery with separate priority queues
- Reduced API latency/timeouts and database load via Redis caching and background processing
- Practical AI/ML workflow orchestration in backend systems (async calls, retries, handling low-confidence outputs, large document processing)
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