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Roshan Ramkeesoon

Machine Learning Engineer at Snap Inc.

Roshan Ramkeesoon is currently pursuing a Master of Science in Data Science with a focus on Machine Learning at the University of Washington. His primary interests lie in Natural Language Processing (NLP), federated learning, self-supervised, and semi-supervised deep learning techniques.

With 3 years of experience, Roshan has a strong background in developing seq2seq NLP models for algorithmic risk analysis in the financial technology sector. Additionally, he has expertise in constructing CNNs for gene splice regulator identification and creating models for clustering user segments based on similarity graphs.

Currently engaged in a capstone project in partnership with Google Research, Roshan is exploring the stability of training semi-supervised models within a multi-client federated environment. He excels in designing meticulous experiments and adeptly guiding teams towards long-term goals.

Roshan Ramkeesoon's educational journey includes a Bachelor of Science in Chemical Engineering from Columbia University and prior studies in Chemical Engineering at Imperial College London. Moreover, he has held significant roles at renowned organizations such as Snap Inc., Microsoft (as a Data Scientist and Machine Learning Engineer), Locus Analytics, and various research positions at University of Washington and Columbia University in the City of New York.

Roshan Ramkeesoon
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Location

San Francisco, California, United States