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SAI RAKAM
Mid-Level Software Engineer specializing in backend microservices and FinTech payments
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About
Capital One engineer focused on fraud and payments platforms, owning end-to-end services and internal tools used by fraud analysts. Built high-traffic Kafka/REST systems and real-time React/TypeScript dashboards (WebSockets, Redis), with strong emphasis on observability, idempotency, and scalable microservices. Successfully drove adoption of AI-assisted fraud classification by pairing transparency and manual overrides with measurable workflow improvements.
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Key Strengths
- Owned high-traffic fraud lookup/event classification service end-to-end (Kafka ingestion + REST APIs)
- Strong reliability engineering: schema validation, API contracts, unit/integration tests, observability from day one
- Data- and user-feedback-driven iteration with incremental releases to balance speed and quality
- Built real-time analytics dashboard (React/TypeScript + Node.js) with WebSockets and Redis caching
- Handled distributed-systems consistency issues (out-of-order/duplicate events) using idempotency checks and versioning
- Microservices at scale: clear service ownership/contracts, centralized logging/metrics/alerting, improved retries and consumer monitoring after incident
- Drove adoption of internal AI-assisted tooling by building trust (confidence transparency, manual overrides, gradual rollout) and measuring workflow impact
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