• Contributed to research goals by developing and implementing software prototypes using Python, Java, and C#, supporting advancement of research initiatives.• Identified and resolved software bugs during R&D, demonstrating problem-solving skills and improving software performance.• Increased VLSI design efficiency by 65% through collaborative software development in GMU’s Hardware & AI lab.

Courses: ECE232: Digital System & Design LabECE107: Introduction to EngineeringECE 350: Embedded Systems and Hardware Interfaces

ECE107: Introduction to EngineeringECE505: Hardware Security ECE616: Advanced Mobile Systems. Task: • Hold weekly office hours to assist students with assignments and questions about class concepts.• Grade all students assessments, including projects, quizzes and review their progress.• Maintain profile information, coursework, grades, course projects and assignments of undergraduate and graduate students using Blackboard, an learning management system.

• Created error event reporting and appropriate human engagement tool for autonomous robotic packaging system.• Improved Error Event Annotation efficiency by 80%.• Worked on further extending the tool to autonomously detect error event type and invoke next steps using ML algorithms to fully automate the process.• Build API to store data from Error Recording website to DynamoDB.• Experience in working with Agile and Scrum development environment.• Used React, Flask, AWS Lambda, AWS Sagemaker, created a CDK (CloudDevelopmentKit) Error Recorder stack in the existing Robotics AI package, Git to develop, deploy and debug the application.• Carried out numerous code reviews and obtained 88% production code coverage.