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Shruthi Nandakumar
Mid-level Full-Stack Developer specializing in FinTech and cloud-native microservices
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About
Backend/AI engineer who owned a high-scale Java/Spring Boot microservice for a financial application (millions of requests/day) and led major reliability/performance fixes (including ORM/query and PostgreSQL tuning) achieving ~60% latency reduction. Also shipped application-layer LLM features for ops teams (summarization + tool-calling) with strong guardrails (PII redaction, validation, audit/feedback) and designed a state-driven agent workflow with retries, circuit breakers, and human escalation.
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Key Strengths
- Owned and scaled Spring Boot microservice for financial workflows handling millions of requests/day
- Diagnosed and resolved peak-load latency/timeouts (thread pool starvation, N+1 Hibernate queries, PostgreSQL indexing), cutting average latency ~60%
- Designed Redis read-through caching with Kafka-driven invalidation, reducing DB reads ~50–60% and improving p95 latency
- Shipped LLM-powered summarization/insights feature end-to-end (UI flow, backend integration, guardrails, tool-calling internal APIs)
- Implemented strong AI safety/reliability measures (PII redaction, token/timeouts, hallucination checks via API validation, audit trail + feedback loop)
- Designed reliable multi-step agent workflow with planning/execution separation, retries, circuit breakers, and human escalation thresholds
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