Cooper Williams

Machine Learning Engineer @ TRM Labs

About Cooper Williams

Cooper Williams is a Machine Learning Engineer with experience in developing production machine learning systems. He has worked at various organizations, including Tanjo and TRM Labs, and possesses expertise in a diverse tech stack and advanced Python libraries.

Current Role at TRM Labs

Cooper Williams currently serves as a Machine Learning Engineer at TRM Labs, a position he has held since 2022. His work focuses on developing production machine learning systems that prioritize calibration, maintainability, and reproducibility. He operates in a remote capacity, contributing to the company's objectives through his expertise in machine learning.

Previous Experience at Tanjo

Prior to his role at TRM Labs, Cooper worked at Tanjo as a Machine Learning Engineer from 2020 to 2022. During his two years at Tanjo, he gained valuable experience in machine learning applications and system development, enhancing his skills in the field.

Educational Background in Machine Learning

Cooper studied at Lambda School, where he focused on Machine Learning and achieved a Data Science certification from 2019 to 2020. This education provided him with foundational knowledge and practical skills in machine learning, which he has applied throughout his career.

Technical Expertise and Skills

Cooper possesses expertise in a diverse tech stack, including Kubernetes, Helm, and Harbor for container orchestration and management. He utilizes advanced Python libraries such as Gensim and SpaCy for natural language processing tasks. Additionally, he employs cloud services like AWS and DigitalOcean to deploy scalable machine learning solutions.

Background in Filmmaking

Cooper has a background in filmmaking, having worked in various roles related to video production. This experience contributes to his unique perspective in data science and machine learning projects, allowing him to approach challenges with creativity and a different viewpoint.

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