Patrick Darrow
About Patrick Darrow
Patrick Darrow is a Machine Learning Engineer at Deep Sentinel and a Consultant at Valence Vibrations, with a background in data science, machine learning research, and tutoring in the San Francisco Bay Area.
Professional Experience at Deep Sentinel
Patrick Darrow has extensive experience with Deep Sentinel, beginning as a Machine Learning Intern in 2019 in the San Francisco Bay Area. He later advanced to a Data Scientist role from 2021 to 2022. Currently, he holds the position of Machine Learning Engineer at Deep Sentinel. Throughout his tenure, Darrow has contributed significantly to the company's machine learning initiatives.
Consultant Role at Valence Vibrations
Since 2021, Patrick Darrow has been working as a Consultant for Valence Vibrations. Leveraging his expertise in machine learning and artificial intelligence, he contributes to various projects and initiatives. His role involves providing strategic insights and technical guidance to enhance the company's product offerings.
Machine Learning Research Intern at Deep Valley Labs
Patrick Darrow served as a Machine Learning Research Intern at Deep Valley Labs from 2020 to 2021. Based in San Jose, California, he engaged in multiple research projects aimed at advancing machine learning methodologies. His contributions during this period underscored his strong analytical and research capabilities.
Academic Background in Electrical Engineering and Computer Science
Patrick Darrow has a solid academic foundation in electrical engineering and computer science. He studied at the University of Southern California, focusing on Electrical and Computer Engineering. Additionally, he attended Las Positas College, where he focused on Electrical Engineering & Computer Science. His educational background has been pivotal in shaping his professional career.
Open Source Contributions and Mission-Driven Focus
Patrick Darrow is an active contributor to open-source projects on GitHub, particularly in machine learning and computer vision domains. He emphasizes mission-driven applications of machine learning, AI, and robotics. His commitment to these fields is evident in his ongoing efforts to develop innovative AI solutions, contributing to the tech community while being based in Los Angeles, California.