Mike Boiko, P.Eng.

Designed and developed a suite of Inter-PLC conversion libraries using C# .NET framework, significantly enhancing cross-compatibility between diverse automation platforms.

Established and implemented comprehensive Microsoft Unit Testing protocols, achieving 95% code coverage and reducing software defects by 30%.

Directed a team of 3 engineers in the successful delivery of high-quality software automation solutions, ensuring adherence to timelines and fostering a collaborative team environment.

Optimized critical automation solutions leveraging the Azure cloud stack, resulting in a 40% decrease in resource utilization and improved overall system scalability.

Led the initiative to integrate and optimize CI/CD pipelines (GitHub Actions), decreasing deployment time by 50% and enabling more frequent and efficient iteration cycles.

Architected, built, and maintained a comprehensive QA automation framework for end-to-end and integration testing, improving test efficiency and reliability.

Utilized Python and Java expertise for development and testing activities across multiple projects.

Developed and implemented solutions leveraging voice recognition AI tools and machine learning libraries such as TensorFlow and Scikit-learn.

Implemented Infrastructure-as-Code (IaC) best practices utilizing Docker, Kubernetes, Helm charts, and Ansible for consistent and scalable environments.

Successfully deployed Kubernetes-based microservices to the Azure cloud platform using Helm charts for streamlined deployments.

Developed and maintained efficient gRPC and REST APIs, integrating with Kafka for asynchronous and scalable communication within the system architecture.

Automated GitLab CI/CD pipelines to streamline software delivery processes, resulting in faster and more reliable deployments.

Leveraged proficiency in Python and Java for both software development and testing activities.

Developed and integrated efficient gRPC and REST APIs to support seamless communication within distributed system architectures.

Implemented Infrastructure-as-Code (IaC) best practices using Docker, Kubernetes, and Ansible for efficient environment management and deployment.

Deployed and managed Kubernetes-based microservices on AWS utilizing Helm charts for scalable and reliable infrastructure.

Architected and developed full-stack applications using Python, Go, C# and JavaScript/TypeScript to meet critical business needs.

Designed and deployed robust and scalable software solutions utilizing both on-premise and cloud infrastructure (AWS CDK).

Led the migration of legacy applications to modern platforms, significantly reducing maintenance overhead and improving system reliability.

Introduced and championed modern development practices, including Agile methodologies and CI/CD pipelines, to enhance team productivity and improve code quality.

Created custom tools in Python, C#, and SQL for DCS (Distributed Control System) database analysis, enhancing commissioning and testing efficiency by 25%.

Expertly configured and maintained Yokogawa Centum VP DCS, Yokogawa ProSafe SIS, Stardom PLC, and Allen Bradley PLC systems.

Managed troubleshooting and breakdown maintenance in high-pressure, time-sensitive environments.

Optimized process control schemes and conducted loop tuning to enhance plant performance.

Led a team to resolve site automation punch items, ensuring efficient project closeout and seamless handover.

Supported commissioning and start-up activities for key projects, ensuring seamless handover to operations teams.