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Computer Code ProgrammingI have hands-on experience in AI training data and data annotation, with a strong focus on computer vision workflows. I built and annotated a custom dataset in Roboflow to train a YOLOv11 model for real-time in-game resource detection. This involved defining labeling schemas, ensuring annotation consistency, and applying preprocessing and augmentation techniques using OpenCV and NumPy to improve generalization and robustness. I worked extensively with Python and PyTorch to train, validate, and iterate on models, emphasizing dataset quality, class balance, and error analysis to optimize performance. In addition to technical implementation, I have experience supporting complex AI-driven workflows by structuring and validating high-quality training data. I am comfortable with industry-standard tools and committed to delivering reliable, production-ready training data that enables scalable and effective AI systems.
Project size of 500+. Worked on fine tuning AI models on solving complex pull requests using open sourced projects.
Bachelor of Science, Computer Engineering and Computer Science
Master of Science, Electrical Engineering
Course Producer For CS353 (Intro To Networking)
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