🚀 Actively Seeking SWE/ML Internship 🚀👋 Hi, I'm David Gao, a passionate Machine Learning Engineer with a strong foundation in Computer Science, Mathematics, and Physics. I am currently studying for a Master of Informatics at Northeastern University.👨‍💼 I was a Machine Learning Engineer at Dongfeng Motor Corporation, where I gained valuable experience in MLOps and model lifecycle management. My work involves creating training model Kubeflow pipelines, developing microservices using Docker, and optimizing model efficiency for Qualcomm chips. I'm also proficient in monitoring model metrics using Jupyter Notebook on Dolphine Scheduler and visualizing customer feedback through Streamlit dashboards. Writing program design docs to ensure clear communication is a part of my daily routine.🔧 My technical skills include Kubernetes, SNPE, Dolphine Scheduler, Streamlit, TensorFlow, and Docker. I thrive in problem-solving scenarios, excel in debugging, and am always up for a code review to enhance team collaboration.🏫 In addition to my work experience, I've also contributed to the technology community as a UNL IT Support Specialist at the University of Nebraska-Lincoln, where I provided comprehensive technical support to over 20,000 users, resolving a wide range of hardware, software, network, and system access issues.📚 My educational journey includes a Bachelor of Science in Computer Science with minors in Mathematics and Physics from the University of Nebraska-Lincoln. I've completed a diverse range of coursework, including deep learning, machine learning, software engineering, and more. My passion for the intersection of technology and science is at the core of my career.🏆 I've been honored with the Innovation Support Award from Changan Automobile for my role in developing specialized solution models and applying MLOps to automate machine learning lifecycles. I've also been recognized with the Global Delegate Scholarship for academic excellence from 2800 international students.🌍 I'm excited to continue my journey in Machine Learning and software engineering.Currently, I am on an F-1 student visa and eligible for Curricular Practical Training (CPT) through Northeastern University’s co-op program, which allows me to work full-time starting from July 2024 while completing my degree. After graduating in March 2025, I will be eligible for Optional Practical Training (OPT), providing 12 months of work authorization, with the possibility of a 24-month STEM extension. Eventually, I may require sponsorship after the OPT period.