Ajumal Khan

Developed and optimized Jenkins shared libraries using Groovy.

• Designed modular and reusable Jenkins shared libraries, enabling consistent CI/CD pipeline automation across multiple projects and teams.
• Refined pipeline logic to streamline automated build, test, and deployment processes, reducing manual intervention and improving overall workflow efficiency.
• Introduced performance optimizations that reduced build times by 15%, allowing faster feedback loops for development teams and accelerating delivery timelines.
• Implemented best practices in CI/CD, such as automated rollback strategies, parallelization, and integration with security scanning tools, ensuring secure and efficient pipelines.

Engineered internal applications using Python and React to support operational tasks.

• Built and maintained internal tools with Python and React, supporting key operational workflows and improving cross-team collaboration.
• Automated routine tasks, such as data processing, report generation, and issue tracking, reduce manual effort and lower chances of human error.
• Enhanced user experience by designing intuitive, responsive, and interactive UI using React, improving usability and adoption of internal tools across multiple departments.
• Optimized application performance, reducing latency and improving efficiency in tool usage by 20%, allowing employees to accomplish tasks faster and with greater accuracy.

Collaborated with cross-functional teams to implement data and machine learning applications.

• Worked closely with data scientists, engineers, and stakeholders to design and deploy scalable data pipelines and machine learning models.
• Assisted in integration of machine learning applications into production environments, ensuring seamless deployment and continuous monitoring.
• Developed scripts and tools for data extraction, transformation, and loading (ETL) using Python, enabling smooth data flow and preparation for model training.
• Facilitated creation of dashboards and reporting tools for real-time monitoring of machine learning model performance and key business metrics.
• Contributed to troubleshooting and optimizing ML pipelines, improving model training times, and reducing inference latency across production systems.

• Improved code deployment efficiency by automating processes with CI/CD pipelines using Jenkins, GitOps, GitLab CI/CD, Bitbucket CI, and Azure DevOps, resulting in faster and more reliable software releases across cloud environments such as AWS, Azure, and GCP.
• Maintained version control systems like Git, SVN, and platforms such as GitHub, GitLab, and Bitbucket to ensure seamless collaboration among developers and engineers during project lifecycles, promoting better code quality and collaboration on global projects.
• Designed and implemented containerisation strategies with Docker, Docker-Compose, and Kubernetes, significantly improving resource utilisation and management of cloud infrastructure components including EC2, EKS, and Azure VM Engine. These strategies helped streamline application deployment across multi-cloud environments like AWS, Azure, and GCP.
• Monitored automated build and continuous software integration processes across projects, leveraging tools like Jenkins, GitOps, and Azure DevOps. This proactive monitoring led to rapid identification and resolution of build/release failures, minimising downtime and ensuring continuous integration and delivery across projects.
• Led deployment of blockchain-based applications for enterprise clients by utilising Ethereum and Hyperledger, ensuring secure and transparent transaction processing on cloud platforms like AWS and Azure, which enhanced data integrity and client trust in blockchain technologies

• Maintained high level of accuracy in all project documentation, ensuring consistency and clarity throughout life cycle of projects.
• Researched and analyzed data to support project-related decisions.
• Provided assistance with preparation of project-related reports, manuscripts and presentations
• Served as primary maintainer for KLA project, addressing vulnerabilities and resolving issues to ensure consistent system reliability.
• Developed and implemented live streaming platform, integrating it into organization website to enable seamless streaming of meetings, enhancing accessibility and user engagement.