About Me
Xin Lei Lin is a Computer Science and Molecular Genetics student at the University of Toronto with experience in machine learning, computer vision, web development, and competitive programming. They have worked on projec…
Xin Lei Lin is a Computer Science and Molecular Genetics student at the University of Toronto with experience in machine learning, computer vision, web development, and competitive programming. They have worked on projects and internships involving TensorFlow, PyTorch, React, Django, OpenCV, and related tools, with a strong academic record and multiple awards.
Experience
Visiting Research Intern
• Further development of Artificial Sign Language with Tensorflow-GPU through Professor Houari Sahraoui.
• Trained deep learning models (including Dense Neural Networks, CNNs, transfer learning w/ YOLO + ResNet, and
LSTM w/ Tensorflow) to translate American Sign Language to English.
• Implemented an algorithm to detect and encode body signs into skeleton (with OpenCV and MediaPipe).
• Webscraping tutorials of American Sign Language (using BeautifulSoup and C++) to extract 1000 hand signs (30
gb of videos, treated w/ OpenCV, Numpy and C++!)
• Performed data augmentation (by a factor of x128) (with C++, Numpy and Pandas) to obtain the largest
dataset for ASL in the world.
Visiting Research Project Intern
Further development of Artificial Sign Language with Tensorflow-GPU through Professor Houari Sahraoui.
Artificial Sign Language
Trained deep learning models, including Dense Neural Networks, CNNs, transfer learning with YOLO + ResNet, and LSTM with TensorFlow, to translate American Sign Language to English.
Implemented an algorithm to detect and encode body signs into skeleton with OpenCV and MediaPipe.
Webscraped tutorials of American Sign Language using BeautifulSoup and C++ to extract 1000 hand signs.
Performed data augmentation by a factor of x128 with C++, NumPy, and Pandas to obtain the largest dataset for ASL in the world.
Competitive Programming Tutor
Taught C++ and Python through 5 online tutorials and in-person sessions with 25 students and 300 views.
Frontend Developper
Designed and deployed from scratch the company’s website using JavaScript, HTML, CSS, and Bootstrap.