Azeem Abbas

Client: Cotality (Estate Platform)

Description: Real estate platform for managing property listings, user transactions, and backend services using a scalable microservices architecture.

• Developed and deployed scalable backend services using Spring Boot microservices for property management and listings.
• Increased system throughput by 20% by optimizing microservices' performance.
• Reduced downtime by 15% by implementing CI/CD pipelines using Jenkins, Kubernetes, and AWS.
• Designed and delivered REST APIs for integrations, improving team productivity by 10%.

Technologies: Java, Spring Boot, Microservices, AWS, MongoDB, Jenkins, Docker, Kubernetes, GitHub, Veracode, Ansible, Scala, and Groovy.

Client: Synchrony Financial (Digital Asset Management).

Description: Digital asset management platform for handling financial data, document storage, and secure customer transactions.

• Improved system efficiency by 25% by developing Spring Boot microservices, and integrating analytics.
• Reduced release cycles by 20% through CI/CD automation using Jenkins, and automated testing with JUnit.
• Supported over 100,000 customer transactions on AWS-based systems, ensuring high availability and performance.
• Developed frontend components using AngularJS, and integrated REST APIs for a seamless user experience.

Technologies: Java, Spring Boot, Microservices, AWS, AngularJS, JUnit, Jenkins, Docker, Kubernetes, GitHub, SonarQube, and Splunk.

Client: Mastercard (Kupaa Applications).

Description: Payment gateway platform for secure transaction processing, and fraud detection in high-volume financial systems.

• Designed and developed payment gateway APIs, supporting over 50,000 daily transactions.
• Enhanced fraud detection capabilities by evaluating and integrating machine learning libraries.
• Resolved 200+ defects using JUnit and Mockito, improving code quality to 95%.

Technologies: Java, Spring Boot, REST API, JUnit, Mockito, AWS.

Client: Toyota (ONE.APP)

Description: A connected car application enabling users to remotely control and monitor vehicle features (e.g., lock/unlock, ignition, status tracking) for Lexus vehicles through a mobile platform.

• Boosted system performance by 30% by optimizing the microservices architecture.
• Reduced defect rate by 30% through systematic testing and quality improvements.
• Improved query response time by 25% for real-time vehicle data processing.

Technologies: Java, Spring Boot, Microservices, Kafka, MongoDB, Jenkins, Bitbucket, JPA, Docker, JUnit, Splunk, New Relic, SonarQube