Devesh Kumar

Designing and deploying event-driven, serverless architectures across AWS and Azure to support scalable Agentic AI workflows and LLM integrations. Architecting serverless APIs and backend infrastructure to facilitate secure communication between AI agents and enterprise data silos via the Model Context Protocol (MCP).

Designing and deploying event-driven, serverless architectures across AWS and Azure to support scalable Agentic AI workflows and LLM integrations. Architecting serverless APIs and backend infrastructure to facilitate secure communication between AI agents and enterprise data silos via the Model Context Protocol (MCP).

Worked on the health domain, developing features and ensuring code quality and process adherence.

Handled new feature addition and bug fixing, serving as a Critical to Quality resource by being flexible to assign any task and closing each task on time with good quality. Analyzed and delivered feature-rich and complex user stories to increase functionality and performance.

Handled various project activities including information gathering, analysis, and documentation of functional or business requirements. Performed new feature addition and bug fixing.

Bachelor of Technology in Computer Science and Engineering from Meerut Institute of Engineering and Technology, completed in 2016.

Senior Secondary School education with a focus on Computer Science, completed in 2011.