Kesav Bollam
Software Engineer (IT Integration) @Canada Cartage
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WORK HISTORY
Software Engineer (IT Integration) @Canada Cartage
Mississauga, ON, CA
What I Do:• Build and maintain Azure Logic Apps to handle inbound and outbound system integrations for logistics and supply chain processes.• Develop API-driven workflows to automate business processes and improve data flow between systems.• Create MVC-style applications to support operations and business teams, applying my full-stack experience with Node.js, React, TypeScript, and AWS.• Maintain CI/CD pipelines to ensure reliable deployments and automation.• Explore AI-powered services like Azure AI Foundry and anomaly detection to enhance monitoring and data validation.• Collaborate with cross-functional teams to understand requirements, troubleshoot issues, and deliver practical solutions.Key Contributions:• Improved operational efficiency by automating workflows and reducing manual effort.• Built reliable integration solutions that support smooth logistics operations.• Applied best practices for testing, deployment, and maintainability.• Used AI and anomaly detection to identify issues earlier and support better decision-making.
EDUCATION
Vellore Institute of Technology
Bachelor's degree, Computer Science
Bishop's University
Master's degree, Computer Science
ABOUT KESAV BOLLAM
I’m a Software Engineer working primarily on Azure, building and maintaining Logic Apps to handle inbound and outbound system integrations within the logistics and supply chain domain.I have a strong background in full-stack development, having built applications using Node.js, React, TypeScript, JavaScript, and the AWS serverless stack, and I continue to apply this foundation when developing MVC-style applications that support operational and business workflows.I also have experience building and maintaining CI/CD pipelines to support reliable deployments and automation. Today, I focus on designing API-driven integrations, automating business processes to reduce manual effort and improve system reliability, and exploring AI-powered services such as Azure AI Foundry and anomaly detection to enhance monitoring, data validation, and overall system intelligence.
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