Pratik Dubal is a senior Machine Learning Engineer based in New York with a decade of experience building deep learning systems for computer vision and large-scale representation learning. Currently at Meta, he combines production ML engineering with academic research—working with Prof. Peter Belhumeur on self-supervised, few-shot methods for fine-grained species categorization across the tree of life. He previously led ML at AitoeLabs, delivering smarter video analytics, and has hands-on experience from research and industry internships to graduate teaching at Columbia. Known for bridging rigorous research and product-focused deployment, he thrives on scaling representation learning approaches from lab prototypes to real-world video systems. An unusual blend of academic mentorship and production leadership fuels his interest in self-supervision as a practical strategy for low-data, fine-grained vision problems.
10 years of coding experience
2 years of employment as a software developer
Secondary School, Secondary School at Apeejay School, Nerul
Master of Science, Master of Science at Columbia University in the City of New York
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at K.J. Somaiya College of Engineering
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