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Mithilesh Gaurihar - Software Engineer in USA

Mithilesh Gaurihar

Mid-Level Software Engineer specializing in Java microservices and cloud-native systems

CitigroupArizona State UniversityUSA4 Years ExperienceMid LevelWorks On-Site

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About

Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.

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Key Strengths

  • Built end-to-end real-time fraud detection platform using event-driven microservices (Kafka backbone)
  • Performance optimization via Redis caching (40% query time reduction validated with JMeter)
  • Production troubleshooting: diagnosed and fixed memory leak using Prometheus/CloudWatch and heap dumps
  • Designed low-latency transaction processing with WebSocket-driven real-time dashboard updates
  • Implemented containerized deployments with Docker/Kubernetes and automated CI/CD with Jenkins + Terraform IaC
  • API design in microservices with clear contracts (Swagger) and layered Spring Boot architecture
  • Strong React state management approach using Redux + TypeScript and Redux-Saga for side effects

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Experience

Software EngineerCitigroup · Feb 2025 – Present
Software EngineerSAP Labs · Jul 2021 – Jul 2023
Software EngineerAdons Softech · Aug 2020 – Jun 2021
Associate Software EngineerAdons Softech · Aug 2020 – Jun 2021

Education

Arizona State Universitymaster, Computer Science (2025)
National Institute of Technology Warangalbachelor, Computer Science and Engineering (2021)

Languages

English

Certifications

Oracle Cloud Infrastructure Generative AI Certified Professional

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Mithilesh GauriharMid-Level Software Engineer specializing in Java microservices and cloud-native systems