Led several projects to design and deploy automated security and infrastructure monitoring solutions on Google Cloud & Microsoft Azure, optimizing cloud resource allocation and scaling processes to improve cost efficiency and streamline data reporting across environments.

Implemented automated threat detection, reporting systems, and CI/CD pipelines, enabling streamlined deployment, code verification, and integration with cloud security tools for robust DevOps workflows.

Collaborated with faculty members and industry advisors to align academic programs with current trends and technologies in the field and improve KSU’s Software Engineering Program.

Backed by Startup Exchange Fellowship @ Georgia Tech & Microsoft For Startups.Developing a SaaS platform for capstone project management, utilizing AI-driven matching and automated workflows to enhance collaboration between universities and industry partners.

Honored to be chosen for the prestigious Undergraduate Assistantship Program at GSU. Worked on developing a Linux-based C/C++ software integrated with ADIOS2, created to optimize the management of high-resolution scientific images. This initiative streamlined data storage, retrieval, and management, significantly benefiting researchers in their work.

I actively collaborated on the development of a Proof-Of-Concept for a Convolutional Neural Network (CNN) based pipeline. My responsibilities included maintaining a pipeline for integrating data from the LightCurve API, processing it, and saving it to an AWS S3 Bucket. Additionally, I took the lead in Scrum meetings, applying Agile methodologies and facilitating Sprint Planning through tools like Airtable.