University of Toronto
Honor Bachelor of Science, Computer Science
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I am a software engineer with a strong background in AI/ML development and training data workflows. My experience includes building and deploying models in PyTorch, TensorFlow, and scikit-learn, with applications in image recognition, text sentiment analysis, and probabilistic decision-making frameworks. Through both academic projects and professional engineering work, I’ve developed a deep understanding of how high-quality training data directly impacts model accuracy and reliability. What sets me apart is the combination of technical AI expertise and hands-on project experience. I have built CNNs for image classification, RNNs for NLP sentiment analysis, and applied Bayesian inference with Markov Decision Processes for decision-making under uncertainty. These projects required not only coding but also careful data preparation, annotation, and validation — giving me the skills to deliver precise, consistent, and useful AI training data. My background in software engineering also ensures I can work efficiently with labeling tools, version control, and collaborative workflows to maintain data integrity across projects.
Zijian X. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Honor Bachelor of Science, Computer Science
Software Engineer
Interim Engineering Intern