Aarfin Ashraf

Senior Software Engineer with 6+ years of experience building scalable, cloud-native systems using Java, Spring Boot, AWS, and Kafka across fintech, healthcare, and travel domains. Reduced deployment time by 50% via CI/CD automation and improved app performance by 40% with microservices tuning. I am skilled in Kubernetes, Postgres, Redis, and event-driven architecture. Open to relocation.

• Senior Software Engineer with 6+ years of experience in Java, Spring Boot, Python, and AWS, with domain exposure in aviation and finance.
• Developed scalable microservices and REST APIs, cutting deployment time by 50% through CI/CD pipeline automation.
• Improved application performance by 40% via refactoring, front-end optimization with React, and database tuning (Oracle).
• Proficient in Docker, Jenkins, Kubernetes, and cloud-native DevOps workflows for secure, resilient deployments.
• Experienced in Agile/Scrum, production support, and test automation using JUnit, Mockito, and SonarQube.
• Hands-on expertise in Java (8–17), Spring Boot, Python, and React.js, building scalable RESTful APIs and microservices aligned with modern software design principles.
• Advanced AWS practitioner, skilled in EC2, Lambda, S3, RDS, Cognito, KMS, API Gateway, and IAM; automated deployments using Docker, Kubernetes, and Jenkins, reducing release cycles by 40%.
• Delivered secure, production-grade code with 85%+ test coverage using JUnit, Mockito, and implemented static code analysis using SonarQube, ensuring robust CI/CD pipelines and minimal code debt.
• Integrated LLMs, ChatGPT, and predictive analytics models into enterprise systems, enabling intelligent automation and improving decision-making efficiency.
• Migrated monolith to microservices for a large insurance client, improving scalability and modularity, while enhancing interoperability with third-party systems (e.g., payment gateways, policy services).
• Proficient in database engineering with PostgreSQL, MongoDB, MySQL, and Elasticsearch, driving query optimization, indexing, and large-scale data transformation using Python ETL pipelines.
• Strong background in performance tuning, monitoring (AppDynamics, Splunk), and troubleshooting within SLA timelines using Agile & ITIL-aligned incident management practices.

2019: Bachelor of Technology (Electronic & Communication Engineering) from GITA (BPUT University), Bhubaneswar, Odisha