Alex Gomez

Machine Learning Engineer @ Motional

About Alex Gomez

Alex Gomez is a Machine Learning Engineer currently employed at Motional since 2022. He has a background in data science and software engineering, with previous roles at Northeastern University, Eversource Energy, and Intuit.

Work at Motional

Alex Gomez has been employed at Motional as a Machine Learning Engineer since 2022. In this role, he focuses on developing and implementing machine learning algorithms to enhance autonomous vehicle technology. His work contributes to the advancement of safe and efficient self-driving systems.

Previous Experience

Before joining Motional, Alex Gomez worked at Eversource Energy as a Data Scientist from 2020 to 2022. He analyzed data to support energy management and operational efficiency. Prior to that, he held various positions including Software Engineering Co-op at QuickBase, Inc. in 2016, and Software Engineer Co-Op at Alignable in 2017. He also interned as a Data Science Intern at Intuit in 2019.

Education and Expertise

Alex Gomez studied at Northeastern University, where he earned a Bachelor of Science in Data Science from 2014 to 2019. He furthered his education by obtaining a Master's degree in Computer Science from the same institution, completing his studies in 2020. His academic background provides a strong foundation in data analysis and machine learning.

Research Assistant Role

During his time at Northeastern University, Alex Gomez served as a Research Assistant for 10 months in 2019. In this position, he contributed to research projects within the College of Computer and Information Science, gaining practical experience in applying theoretical knowledge to real-world problems.

Tutoring Experience

In addition to his research role, Alex Gomez worked as a Tutor for Discrete Structures in the College of Computer and Information Science at Northeastern University in 2016. This experience allowed him to assist fellow students in understanding complex concepts, further developing his communication and teaching skills.

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