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Supritha V
Senior Backend Software Engineer specializing in financial workflow automation
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Backend/AI workflow engineer with PayPal experience building workflow-driven financial compliance systems (Python/Java, Postgres, AWS/EKS) at thousands of executions/day. Has shipped production LLM-powered document extraction with strict schema/rule validation, auditability, and human-in-the-loop fallbacks, and has deep expertise in reliability (idempotency, locking, state machines) and Postgres performance tuning.
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Key Strengths
- Built workflow-driven backend services for financial compliance at PayPal (Python/Java, Postgres, AWS/EKS) handling thousands of executions/day with ACID guarantees
- Resolved concurrency-related data inconsistency by redesigning transaction boundaries, adding SELECT FOR UPDATE locking, idempotency, and strict state-machine transitions
- Shipped hybrid AI document-understanding feature end-to-end (LLM extraction + deterministic validation/rules, monitoring, rollout) for compliance workflows
- Designed agent-style multi-step workflow with clear planning/execution/verification separation and deterministic tool execution (retries, circuit breakers, escalation to human review)
- Strong production engineering practices: typed models (pydantic), layered architecture, async I/O, integration testing for failure/retry scenarios, and robust observability
- Improved Postgres performance via EXPLAIN ANALYZE-driven indexing (composite/partial) and denormalizing JSON fields into relational columns
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