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Ezzeri Esa

Software Engineer, ML | ex-Square, Airtable

Ezzeri Esa is a highly skilled software engineer with a strong background in machine learning (ML) with a focus on payments and lending, as well as data infrastructure including production and data warehouse systems.

Ezzeri has extensive experience in developing end-to-end ML workflows encompassing feature stores, model training, and inference processes. He is also proficient in optimizing data pipelines handling large volumes of data, up to petabytes in scale.

Having attended the Recurse Center twice and being actively involved in open-source contributions, Ezzeri brings a wealth of knowledge and expertise to his roles. He is currently honing his interpersonal skills with a particular interest in team collaboration and dynamics.

His educational background includes studies in Mathematics at the University of Cambridge, with additional stints at Harvard University for specialized courses and Le Cordon Bleu Paris for Cuisine de Base. He also holds a law degree from the University of Cambridge.

Ezzeri's professional experience includes positions such as AI Engineer at Hex, Software Engineer specializing in Machine Learning at Step, Software Engineer handling Data Infrastructure at Airtable, and roles in ML Engineering and Data Science in the realm of risk at Square.

Known for his ability to simplify complex information and make it accessible to all levels of understanding, Ezzeri has been praised by a former manager for his skill in distilling complicated data into beginner-friendly formats.

Seeking opportunities in backend development, ML, and data engineering or any roles that allow him to combine these skill sets, Ezzeri is on the lookout for positions within a closely-knit team environment where collaboration and synergy are prioritized.

Ezzeri Esa
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Location

San Francisco, California, United States