Keith Low

Software Engineer @ Eigen Technologies

About Keith Low

Keith Low is a software engineer with expertise in machine learning integration pipelines and model deployments. He has worked at various companies, including Eigen Technologies and Bank of America, and has a background in Electrical and Electronics Engineering.

Work at Eigen Technologies

Keith Low has been employed as a Software Engineer at Eigen Technologies since 2021. He operates within the New York City Metropolitan Area, contributing to the development of software solutions. His role involves specializing in machine learning integration pipelines and model deployments, which are essential for the company's AI-driven projects.

Previous Experience in Technology and Engineering

Prior to his current position, Keith Low worked at several notable organizations. He served as a Software Engineer at Bank of America from 2019 to 2021. Before that, he was a Summer Analyst at BlackRock in 2018 and completed a Cyber Security Internship at Exelon Nuclear in 2017. Additionally, he was a Technology Entrepreneur Mentor at The Zahn Innovation Center for five months in 2016.

Education and Expertise

Keith Low holds a Bachelor of Engineering (BE) in Electrical and Electronics Engineering from The City College of New York, where he studied from 2016 to 2019. He also earned a Bachelor's Degree in Electrical and Computer Engineering from the New York Institute of Technology, completing his studies there from 2015 to 2019. His educational background supports his expertise in machine learning, AI, and software development.

Portfolio and Personal Projects

Keith Low maintains a personal portfolio at keithlowdev.com, where he showcases his work and projects. His portfolio highlights his experience in developing NLP product solutions as part of various AI and machine learning company projects, demonstrating his technical skills and commitment to the field.

Interests in AI and Machine Learning

Keith Low is an enthusiast of artificial intelligence, machine learning, and deep learning. He actively engages with these technologies, focusing on their integration into practical applications. His interest in coffee also reflects a personal passion that complements his professional pursuits.

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