Sergio Bronfman is a CTO and machine learning specialist with a decade of experience building applied ML systems, data pipelines, and DevOps workflows from Santiago, Chile. He holds a Master's in Machine Learning from KTH and a distinguished Electrical Engineering degree from Universidad de Chile, blending rigorous academic research with practical production engineering. Sergio has progressed from thesis and research roles in hyperspectral imaging to hands-on data engineering and ML development across consulting engagements and product teams, most recently leading AI initiatives and platform work at Cenit. He is comfortable across the stack—modeling and deep learning research, Scala/Spark and Python pipelines, and deployment automation—and has repeatedly delivered revenue-assurance and integration solutions in enterprise contexts. Notably, he moved quickly from ML developer to CTO within the same company, signaling both technical depth and rapid leadership growth.
10 years of coding experience
13 years of employment as a software developer
KTH Royal Institute of Technology
Professional Title / Título Profesional, Electrical Engineering / Ingeniería Eléctrica, Maximum Distinction / Distinción máxima, Professional Title / Título Profesional, Electrical Engineering / Ingeniería Eléctrica, Maximum Distinction / Distinción máxima at Universidad de Chile
Tensorflow implementation of MRCL - Meta-Learning Representations for Continual Learning based in https://arxiv.org/abs/1905.12588 and https://github.com/khurramjaved96/mrcl , coded for Reproducibility Challenge NIPS 2019.
Contributions:147 pushes, 7 branches in 3 years 5 months
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