Mid-Level Software Engineer specializing in cloud-native backend systems
Texas, StateSoftware Engineer4 years experienceMid-LevelFinancial ServicesFinTechManufacturing
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About
Full-stack/backend engineer with deep experience building real-time fraud and credit-risk systems. Shipped an event-driven fraud monitoring platform (Kafka→MongoDB/Redis→WebSockets) delivering sub-200ms updates to 3000+ concurrent internal users, and built a Java/Spring Boot credit risk decisioning API that improved turnaround time by 30–40%. Strong AWS production operations (ECS Fargate/RDS/Redis) with proven incident response and performance tuning.
Experience
Software EngineerPNC
Senior Software Engineer IJohn Deere
Education
University of Texas at Dallasmaster, Computer Science (2025)
Vishwakarma Institute of Information Technologybachelor, Computer Engineering (2020)
Key Strengths
Designed and shipped real-time fraud monitoring pipeline with sub-200ms updates to 3000+ concurrent users
Strong reliability engineering: idempotent/versioned writes, decoupled components, health checks, alerting, and latency SLO tracking (P95/P99)
Backend/API performance optimization (indexing, query tuning, connection pooling) under high concurrency
Built credit risk evaluation API improving loan decision turnaround time by 30–40% via async workflows and fast rule-based paths
Event-driven and asynchronous orchestration design (Kafka/SQS/Lambda/Databricks) with consistent state transitions and retry handling
Full-stack delivery: React+TypeScript real-time dashboard with robust handling of out-of-order events, reconnects, and UX edge cases
Production AWS operations and incident response (CPU spikes/latency) with end-to-end remediation and scaling improvements
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