I am a dedicated Graduate Research Assistant at FIU's CATE lab, where I specialize in image processing and deep learning techniques for the analysis of MRI T1 images, with a particular focus on cortical gray matter. My work involves developing and implementing advanced image segmentation methods, contributing to our understanding of Alzheimer's disease by identifying potential markers. Collaborating with interdisciplinary teams, I actively share findings and foster a collaborative research environment. My ultimate goal is to leverage data analysis on cortical thinning to advance Alzheimer's disease prediction and prevention, making a meaningful impact on the field and the lives of those at risk.

I work with Product Managers and Engineering Managers to gather requirements and support SW operations during feature development. I facilitated Alpha / Beta preparation for early product testing for SW releases.  I coordinate with Test and Engineering to deploy weekly SW loads to Alpha Test team members. Moreover, I supported the team with sprint planning and quarterly PI planning as well as track and report on beta test plans and track and report on open defects via JIRA. 

I worked as a Product Engineer for ABB Zenith Automatic Transfer Switches. I developed and lead test programs and factory acceptance tests to validate designs of ATS and controller. I worked with cross functional teams for Lead Concept Design Reviews, Detailed Design Reviews, Design Verification Reviews, and Manufacturing feasibility

As an intern, I constructed a Wi-Fi-based alarm system using WISE-4000 module and Raspberry Pi. I coded and troubleshoot MiR industrial robot as per need in production by reducing non-value-added activities. I fetched restful API from internet of things device using python JSON to analyze input data and assist in continuous improvement initiatives.