Vincent Lau

About Vincent Lau

I am a technology professional and healthcare specialist in training, positioned at the intersection of artificial intelligence and medical imaging. My career objective is to become an AI Radiology Engineer, developing intelligent systems that enhance diagnostic accuracy and improve patient outcomes.I hold a degree from Brooklyn College and completed intensive software engineering training at Coding Dojo, earning certifications in Python and JavaScript with full-stack mastery in Python and MERN stack technologies. Currently, I am pursuing dual degrees: Radiologic Technology at John Patrick University, working toward ARRT licensure with clinical training at Richmond University Medical Center, and a Master of Science in Computer Science at Georgia Institute of Technology, specializing in Machine Learning and Artificial Intelligence Engineering. This combination provides comprehensive expertise in both clinical radiology and AI, creating a foundation for developing solutions tailored to real-world healthcare challenges.My professional background includes over 5 years in customer service and classroom management, developing critical skills in communication, stakeholder management, and organizational leadership. I am currently completing clinical hours at Richmond University Medical Center, gaining hands-on experience with diagnostic imaging protocols, patient care workflows, and radiology operations.My technical expertise spans MongoDB, Express.js, React, Node.js, Python, JavaScript, Git, GitHub, AWS EC2, and RESTful APIs. I am actively expanding my capabilities in machine learning, computer vision, and medical imaging analytics, with focus areas including AI applications for medical image interpretation, deep learning models for disease detection, and workflow optimization in clinical settings.I am committed to advancing AI in healthcare and seek opportunities to collaborate on research at the intersection of AI and medical diagnostics, contribute to clinical decision support systems, and work with cross-functional teams of radiologists, data scientists, and engineers. I welcome connections with professionals in healthcare technology, medical imaging, and AI research for collaboration and networking opportunities.

Experience

1. Technology Specialist

   Target

   May 2023 — Present · Brooklyn, NY, US

   As a Guest Advocate at Target, I support daily operations across multiple areas to ensure guests have a seamless and positive shopping experience. My role includes both customer-facing responsibilities and technical/operational support:Assisting guests with purchases, returns, inquiries, and loyalty programs to deliver excellent customer service.Operating as a cashier and managing transactions with accuracy and efficiency.Monitoring and restocking all electronics, ensuring shelves remain organized and fully stocked.Troubleshooting and fixing front-end systems, including cashier registers and bottle deposit machines.Using Zebra handheld devices to organize, update, and track inventory in Target’s database.Collaborating with team members to maintain store standards and meet daily operational goals.This position has strengthened my technical troubleshooting, inventory management, and communication skills, while giving me valuable experience balancing customer service with operational efficiency.

Education

• Coding Dojo

  Bootcamp Graduate, Computer Science

• Georgia Institute of Technology

  Master's degree, Artificial Intelligence

• John Patrick University of Health and Applied Sciences

  Associate's degree, Radiology Technology

• Brooklyn College

  Bachelor's degree, Computer Science