I am a highly driven software engineer with a passion for designing and developing scalable, cloud-native applications. My expertise spans Java, Spring Boot, SQL, AWS, and modern front-end frameworks, with a strong focus on microservices architecture and RESTful APIs. I have successfully contributed to modernizing legacy financial systems and have hands-on experience in AI and machine learning, particularly in testing and evaluating LLMs and RAG architectures. I enjoy leading cross-functional teams and delivering secure, resilient solutions aligned with business goals and compliance standards. My background includes working on real-time analytics platforms, implementing robust CI/CD pipelines, and enhancing system performance and security in cloud environments. I'm always eager to leverage advanced data analytics and AI to provide meaningful business insights and drive continuous improvement.

Zubair Ahmed

I am a highly driven software engineer with a passion for designing and developing scalable, cloud-native applications. My expertise spans Java, Spring Boot, SQL, AWS, and modern front-end frameworks, with a strong focus on microservices architecture and RESTful APIs. I have successfully contributed to modernizing legacy financial systems and have hands-on experience in AI and machine learning, particularly in testing and evaluating LLMs and RAG architectures. I enjoy leading cross-functional teams and delivering secure, resilient solutions aligned with business goals and compliance standards. My background includes working on real-time analytics platforms, implementing robust CI/CD pipelines, and enhancing system performance and security in cloud environments. I'm always eager to leverage advanced data analytics and AI to provide meaningful business insights and drive continuous improvement.

Available to hire

I am a highly driven software engineer with a passion for designing and developing scalable, cloud-native applications. My expertise spans Java, Spring Boot, SQL, AWS, and modern front-end frameworks, with a strong focus on microservices architecture and RESTful APIs. I have successfully contributed to modernizing legacy financial systems and have hands-on experience in AI and machine learning, particularly in testing and evaluating LLMs and RAG architectures.

I enjoy leading cross-functional teams and delivering secure, resilient solutions aligned with business goals and compliance standards. My background includes working on real-time analytics platforms, implementing robust CI/CD pipelines, and enhancing system performance and security in cloud environments. I’m always eager to leverage advanced data analytics and AI to provide meaningful business insights and drive continuous improvement.

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Experience Level

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Language

English
Fluent

Work Experience

Software Engineer at Software Concepts LLC (Flagstar Bank)
April 30, 2025 - July 18, 2025
Led the migration of legacy monolithic applications to microservices architecture using Spring Boot, Spring Cloud, and AWS Lambda, significantly reducing system latency and improving scalability. Engineered highly secure RESTful APIs with Spring Security and documented integrations using Swagger/OpenAPI, enhancing interoperability and internal developer onboarding. Integrated Apache Kafka for asynchronous event-driven communication, improving real-time transaction processing and system resilience. Optimized SQL and PostgreSQL queries for complex analytics workflows, boosting data retrieval performance and ensuring compliance with strict reporting standards. Implemented advanced CI/CD pipelines using Jenkins, Docker, OpenShift, and Terraform, accelerating release cycles and minimizing deployment risks. Deployed monitoring and logging solutions with Prometheus, Grafana, and ELK Stack, enabling proactive incident response and system health tracking. Developed real-time banking data analyt
Software Engineer at Software Concepts LLC (Flagstar Bank)
April 30, 2025 - July 18, 2025
Led the migration of legacy monolithic applications to microservices architecture using Spring Boot, Spring Cloud, and AWS Lambda, significantly reducing system latency and improving scalability. Engineered highly secure RESTful APIs with Spring Security and documented integrations using Swagger/OpenAPI, enhancing interoperability and internal developer onboarding. Integrated Apache Kafka for asynchronous event-driven communication, improving real-time transaction processing and system resilience. Optimized SQL and PostgreSQL queries for complex analytics workflows, boosting data retrieval performance and ensuring compliance with strict reporting standards. Implemented advanced CI/CD pipelines using Jenkins, Docker, OpenShift, and Terraform, accelerating release cycles and minimizing deployment risks. Deployed monitoring and logging solutions with Prometheus, Grafana, and ELK Stack, enabling proactive incident response and system health tracking. Developed real-time banking data analyt
AI Tester at Outlier
December 31, 2024 - July 18, 2025
Led the testing and evaluation of large language models (LLMs) within Outlier's AI-driven data analysis platform, ensuring accuracy and reliability in anomaly detection and business insights. Designed and implemented automated testing frameworks using tools like DeepEval and RAGAs, significantly improving testing efficiency and reducing manual validation efforts. Validated retrieval accuracy in RAG architectures by leveraging vector databases and embedding techniques, enhancing model performance and user trust in insights. Collaborated with cross-functional teams, including data scientists and ML engineers, to fine-tune model outputs, improve data quality pipelines, and align AI components with business objectives. Developed comprehensive test cases and executed performance and stress testing on AI models, identifying bottlenecks and contributing to a high improvement in overall model response times. Built detailed evaluation reports and dashboards to track model accuracy, precision, a
AI Tester at Outlier
December 31, 2024 - July 18, 2025
Led the testing and evaluation of large language models (LLMs) within Outlier's AI-driven data analysis platform, ensuring accuracy and reliability in anomaly detection and business insights. Designed and implemented automated testing frameworks using tools like DeepEval and RAGAs, significantly improving testing efficiency and reducing manual validation efforts. Validated retrieval accuracy in RAG architectures by leveraging vector databases and embedding techniques, enhancing model performance and user trust in insights. Collaborated with cross-functional teams, including data scientists and ML engineers, to fine-tune model outputs, improve data quality pipelines, and align AI components with business objectives. Developed comprehensive test cases and executed performance and stress testing on AI models, identifying bottlenecks and contributing to improved model response times. Built detailed evaluation reports and dashboards to track model accuracy, precision, and recall over time,
Software Engineer at Vanguard
May 31, 2023 - July 18, 2025
Coordinated the re-architecture of the investment engine using Spring MVC, Hibernate, and Oracle, resulting in improved audit accuracy and reduced data processing times. Designed and executed comprehensive integration and regression tests using JUnit, Mockito, and TestNG, ensuring robust code quality aligned with financial compliance standards. Modernized the frontend experience using React.js, Redux, Material-UI, and SASS, enhancing user interactivity and executive reporting dashboards. Integrated GraphQL APIs for optimized data fetching, reducing payload sizes and improving client-side performance. Led Agile ceremonies and managed sprint priorities using Jira and Confluence, aligning technical deliverables with evolving business objectives. Configured container orchestration environments using Kubernetes and Azure, enhancing deployment scalability and system reliability. Utilized SonarQube for static code analysis and quality gating, reinforcing code security and maintainability.
Software Engineer at Vanguard
May 31, 2023 - July 18, 2025
Coordinated the re-architecture of the investment engine using Spring MVC, Hibernate, and Oracle, resulting in improved audit accuracy and reduced data processing times. Designed and executed comprehensive integration and regression tests using JUnit, Mockito, and TestNG, ensuring robust code quality aligned with financial compliance standards. Modernized the frontend experience using React.js, Redux, Material-UI, and SASS, enhancing user interactivity and executive reporting dashboards. Integrated GraphQL APIs for optimized data fetching, reducing payload sizes and improving client-side performance. Led Agile ceremonies and managed sprint priorities using Jira and Confluence, aligning technical deliverables with evolving business objectives. Configured container orchestration environments using Kubernetes and Azure, enhancing deployment scalability and system reliability. Utilized SonarQube for static code analysis and quality gating, reinforcing code security and maintainability.
Software Developer at DXC Technology
August 31, 2021 - July 18, 2025
Developed full-stack applications using Angular, Node.js, and Express.js, resulting in a seamless and modernized user experience with reduced backend latency. Designed microservice components integrated with MongoDB, Redis, and Cassandra, improving data consistency and system throughput. Implemented robust authentication and authorization mechanisms with OAuth2 and JWT, ensuring high standards of data privacy and security. Streamlined CI/CD workflows utilizing GitLab CI/CD, Gradle, and Git, cutting deployment times and reducing manual errors. Automated infrastructure provisioning with AWS CloudFormation and Google Cloud Platform services, significantly reducing operational overhead. Deployed real-time monitoring tools including Splunk, enhancing observability and quick incident remediation.
Software Developer at DXC Technology
August 31, 2021 - July 18, 2025
Developed full-stack applications using Angular, Node.js, and Express.js, resulting in a seamless and modernized user experience with reduced backend latency. Designed microservice components integrated with MongoDB, Redis, and Cassandra, improving data consistency and system throughput. Implemented robust authentication and authorization mechanisms with OAuth2 and JWT, ensuring high standards of data privacy and security. Streamlined CI/CD workflows utilizing GitLab CI/CD, Gradle, and Git, cutting deployment times and reducing manual errors. Automated infrastructure provisioning with AWS CloudFormation and Google Cloud Platform services, significantly reducing operational overhead. Deployed real-time monitoring tools including Splunk, enhancing observability and quick incident remediation.
Software Developer at HUDDA InfoTech
January 31, 2020 - July 18, 2025
Designed optimized SQL schemas and developed high-performance Spring Boot APIs for secure financial transaction systems, reinforcing data integrity and transactional safety. Engineered reusable and modular frontend components using Vue.js, HTML5, CSS3, Bootstrap, and Tailwind CSS, reducing maintenance costs and enhancing cross-browser compatibility. Developed responsive, cross-platform user interfaces and integrated WebSockets for real-time notifications and updates. Built automated unit and integration tests using Cypress and Selenium, preventing regressions and improving overall system stability. Managed deployment automation and resource provisioning using Terraform, enabling repeatable and efficient environment setups. Leveraged Figma for rapid prototyping and design collaboration, ensuring alignment between engineering and product teams.
Software Developer at HUDDA InfoTech
January 31, 2020 - July 18, 2025
Designed optimized SQL schemas and developed high-performance Spring Boot APIs for secure financial transaction systems, reinforcing data integrity and transactional safety. Engineered reusable and modular frontend components using Vue.js, HTML5, CSS3, Bootstrap, and Tailwind CSS, reducing maintenance costs and enhancing cross-browser compatibility. Developed responsive, cross-platform user interfaces and integrated WebSockets for real-time notifications and updates. Built automated unit and integration tests using Cypress and Selenium, preventing regressions and improving overall system stability. Managed deployment automation and resource provisioning using Terraform, enabling repeatable and efficient environment setups. Leveraged Figma for rapid prototyping and design collaboration, ensuring alignment between engineering and product teams.

Education

Master of Science at Pace University
September 1, 2021 - May 31, 2023
Bachelor of Technology at Sri Indu College of Engineering and Technology
June 1, 2016 - September 30, 2020
Master of Science at Pace University
September 1, 2021 - May 31, 2023
Bachelor of Technology at Sri Indu College of Engineering and Technology
June 1, 2016 - September 30, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Professional Services