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Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
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Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).
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Key Strengths
- Debugged and resolved AWS Lambda cold-start bottlenecks (8.2s p99) using provisioned concurrency and SQS visibility timeout tuning
- Built reliability program: CloudWatch canaries, Resilience4j circuit breakers, DLQ auto-remediation, and weekly chaos testing
- Shipped end-to-end LLM/RAG incident RCA product (Bedrock Claude 3 + React) with 92% precision and 75% MTTR reduction
- Strong production prompt-engineering discipline: structured XML outputs, sequential prompting, self-consistency voting, confidence-based human review
- Designed robust multi-step deployment/validation workflow (Spring Boot planning + Step Functions execution) with clear retry/escalate/stop criteria; 99.8% success over ~2K monthly deploys
- High-quality Python engineering practices: hexagonal architecture, strict typing, property-based testing, contract testing, and dependency security scanning
- Database performance optimization using covering indexes, materialized views, and query rewrites validated via EXPLAIN ANALYZE
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