Guim Perarnau is a Machine Learning Engineer based in London with 10 years of experience applying deep learning and computer vision to real-world products at Meta and Bloomberg. He holds an honours Bachelor's in Computer Science (AI) and a Master in Computer Vision from Universitat Autònoma de Barcelona, and began his research-driven career building high-accuracy detectors and classifiers at the Computer Vision Center. At Bloomberg he translated research into robust ML systems for production, and at Meta he continues to scale and operationalize models for large user-facing platforms. Guim blends academic rigor with product-focused engineering—comfortable moving from prototype MATLAB experiments to deployed Python and deep learning stacks. He has a proven track record of squeezing strong performance from resource-constrained setups (e.g., high-accuracy hand detection on RGB cameras), suggesting a talent for pragmatic model and system trade-offs. Curious and web-visible, he shares work and writing at guimperarnau.com.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree in Computer Science, Major in Artificial Intelligence (honours), 91%, Bachelor's degree in Computer Science, Major in Artificial Intelligence (honours), 91% at Universitat Autònoma de Barcelona
Contributions:23 pushes, 2 branches in 5 years 1 month
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