Suemi Castillo
@suemicastillo
I'm building applied AI systems through computer vision research and full-stack development.
What I'm looking for
I'm comparing Detection Transformer and YOLO architectures for real-time cellphone-usage recognition while driving, building deep learning pipelines from data preparation and training through benchmarking accuracy, inference speed, and detection quality.
I've developed web and mobile banking applications for Santander at Accenture using Angular and Ionic, built end-to-end Ruby on Rails applications at Designer Pages, and co-led an Angular quiz-management application at Universidad Autónoma de Yucatán. I also enjoy teaching: I've supported machine learning and artificial intelligence students with neural networks, object detection, programming, algorithms, and model evaluation.
Experience
Work history, roles, and key accomplishments
Software Engineer
Suemi Andrea Castillo González
Software engineer with an M.Sc. in Computer Science and deep learning research experience in computer vision, including benchmarking Detection Transformer and YOLO architectures. Combines full-stack development with applied machine learning and model evaluation.
Education
Degrees, certifications, and relevant coursework
Universidad Autónoma de Yucatán
Master of Science, Computer Science
2023 -
Pursuing a Master's Degree in Computer Science with a focus on Intelligent Systems, specializing in deep learning for computer vision. Thesis involves comparative benchmarking of Detection Transformer and YOLO architectures for cell-phone-usage recognition while driving.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/Suemi412Job categories
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