ML & Computer Vision Tutor | CMU Robotics Grad

Joyi C.

I hold a Master’s degree from the Robotics Institute at Carnegie Mellon University, one of the top programs in the world for Artificial Intelligence, Computer Vision, and Machine Learning. I also served as a Teaching Assistant for 16-720: Computer Vision, one of the most challenging and popular graduate-level computer vision courses at CMU. During that time, I supported both undergraduate and graduate students, adapting my approach to match their level of experience. With graduate students, I focused on conceptual frameworks and project-based mentoring. With undergraduates, I used a more hands-on, step-by-step teaching style to guide them through foundational material and code implementation.

In addition to my academic experience, I have over 10 years of industry experience applying AI and ML in real-world contexts. I currently work as a Lead Computer Vision and Machine Learning Engineer, building and deploying models for 3D reconstruction, object detection, and anomaly detection. I’ve mentored junior engineers and interns, helping them understand the full machine learning pipeline—from data preprocessing and model architecture to evaluation and deployment. I also have experience tutoring independently, particularly for college and graduate students preparing for coursework, capstone projects, or research involving Python, PyTorch, deep learning, and applied statistics.

My teaching style is tailored to the student. I believe that effective instruction requires adapting based on the learner’s background, not using a one-size-fits-all method. Whether you're a beginner trying to understand model basics or an advanced student refining your thesis project, I’ll meet you where you are and help you reach the next level.