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CVATNo subject matter listed
Computer Code Programming
Image
VideoI am passionate about building robust AI systems and have hands-on experience in data annotation, ML operations, and AI training data workflows. My background includes optimizing data labeling processes and containerizing training infrastructure for a computer vision sports analytics platform, where I improved throughput by 35% and accelerated training cycles using Google Cloud. I have worked with Python (TensorFlow, PyTorch, NumPy, Pandas) and applied these skills to projects in NLP and audio analysis, such as developing an AI-powered fraud detection system and an iOS productivity app with embedded ML modules. My experience spans user research, data pipeline optimization, and collaborating across technical and business teams to deliver high-quality, annotated datasets for machine learning models. Fluent in English and French, I bring a global perspective and a focus on scalable, data-driven AI solutions.
Annotating images with bounding boxes, using images of tech products and internal machinery for categorization purposes
Worked on annotation of soccer matches to speed up their training data process using CVAT and python annotation tools.
Bachelor of Science, Artificial Intelligence for Business
International Baccalaureate Diploma Program, General Education
Business Development & Private Equity Intern
AI Strategy & ML Ops Intern
