Steven Nol

About Steven Nol

Steven Nol is an intern at Blue River Technology, where he contributes to projects focused on agricultural technology and automation. He studies Computer Science at UC San Diego and has gained experience in machine learning and computer vision.

Work at Blue River Technology

Steven Nol has been an intern at Blue River Technology since 2020. During this time, he has participated in projects that focus on agricultural technology and automation. His role has involved contributing to the development of precision agriculture solutions, which aim to enhance farming efficiency through technology. His experience at Blue River Technology has allowed him to gain practical knowledge in the field of agricultural innovation.

Education and Expertise

Steven Nol is currently pursuing a degree in Computer Science at UC San Diego, where he has been studying since 2021 and is expected to graduate in 2025. His academic background has provided him with a solid foundation in computer science principles. Additionally, he has gained expertise in machine learning and computer vision during his internship at Blue River Technology, further enhancing his technical skills.

Background

Before attending UC San Diego, Steven Nol studied at Cristo Rey San Jose High School from 2018 to 2021. His educational journey at the high school level did not focus on a specific major. Following his high school education, he began his internship at Palo Alto Networks, where he worked from 2017 to 2020. This experience contributed to his development in the tech industry prior to his current role.

Internship Experience

Steven Nol has accumulated significant internship experience in the technology sector. He interned at Palo Alto Networks from 2017 to 2020, where he gained foundational skills in the industry. Since 2020, he has continued to build on this experience at Blue River Technology, where he has focused on agricultural technology and automation. His internships have provided him with practical insights and hands-on experience in machine learning and computer vision.

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