Here is a **short, clean self-description** based on your resume—professional, natural, and suitable for applications or profiles: --- I’m a Software Developer with 3+ years of experience building secure, scalable, and high-performance applications across fintech and enterprise environments. I specialize in Java, Spring Boot, React.js, and cloud technologies, with a strong track record of optimizing APIs, improving system reliability, and automating CI/CD pipelines. I enjoy solving complex technical problems, learning quickly, and collaborating with cross-functional teams to deliver impactful, production-ready solutions.

Here is a **short, clean self-description** based on your resume—professional, natural, and suitable for applications or profiles: --- I’m a Software Developer with 3+ years of experience building secure, scalable, and high-performance applications across fintech and enterprise environments. I specialize in Java, Spring Boot, React.js, and cloud technologies, with a strong track record of optimizing APIs, improving system reliability, and automating CI/CD pipelines. I enjoy solving complex technical problems, learning quickly, and collaborating with cross-functional teams to deliver impactful, production-ready solutions.

Available to hire

Here is a short, clean self-description based on your resume—professional, natural, and suitable for applications or profiles:


I’m a Software Developer with 3+ years of experience building secure, scalable, and high-performance applications across fintech and enterprise environments. I specialize in Java, Spring Boot, React.js, and cloud technologies, with a strong track record of optimizing APIs, improving system reliability, and automating CI/CD pipelines. I enjoy solving complex technical problems, learning quickly, and collaborating with cross-functional teams to deliver impactful, production-ready solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Software Developer at JPMorgan Chase
August 1, 2024 - Present
Architect event-driven microservices using Java 17, Spring Boot, and Kafka, translating complex regulatory requirements into scalable solutions that handled high-volume transactions securely. Automate CI/CD pipelines with Jenkins, Docker, and AWS, reducing deployment time by 35% and ensuring reliable release cycles. Optimized RESTful and asynchronous APIs with Spring Boot and PostgreSQL, enabling real-time financial transaction processing for internal and customer-facing applications. Designed React.js dashboards with accessible visualizations to help operations interpret financial metrics and improve reporting efficiency. Implemented automated testing with JUnit and Mockito, achieving 90% coverage and reducing production issues by 25%. Enhanced system reliability by observability pipelines using ELK Stack and AWS CloudWatch, introducing anomaly alerts that improved MTTR by 40%.
Java Developer at HCLTech
October 1, 2022 - July 1, 2023
Developed modular microservices with Java 8+, Spring Boot, and React.js, collaborating with UI/UX designers and QA teams. Streamlined development environments using AWS and Kubernetes, automating dependency management with Maven, cutting onboarding time by 25%. Optimized APIs and database interactions (PostgreSQL, MongoDB) to improve performance by 22%. Built responsive front-end components with React.js, enhancing accessibility and user engagement. Integrated automated unit and integration testing with JUnit and Selenium into Jenkins pipelines, achieving 85% test coverage and 18% reduction in production defects. Deployed microservices to AWS ECS/Fargate with Terraform, enabling zero-downtime deployments and increasing release frequency by 20%.
Backend Developer at MAQ Software
January 1, 2021 - September 1, 2022
Engineered RESTful APIs and microservices with Java Spring Boot and Python Flask, reducing response times by 25% and improving integration across enterprise applications. Managed SQL and NoSQL databases (PostgreSQL, MongoDB) with indexing, query optimization, and partitioning, achieving 99.9% uptime. Deployed applications on AWS (EC2, S3, RDS, Lambda) using Python automation, Docker, and CI/CD pipelines, cutting deployment cycles by 30%.

Education

Master of Science in Computer Science at George Mason University
August 1, 2023 - May 1, 2025

Qualifications

AWS Certified Cloud Practitioner
January 11, 2030 - December 12, 2025
AWS Certified Solutions Architect – Associate
January 11, 2030 - December 12, 2025
Walmart USA - Advanced Software Engineering Job Simulation – Forage
January 11, 2030 - December 12, 2025
JPMorgan Chase Software Engineering Virtual Experience – Forage
January 11, 2030 - December 12, 2025
SQL (Intermediate) – HackerRank
January 11, 2030 - December 12, 2025

Industry Experience

Financial Services, Software & Internet, Professional Services, Other