Dean Biskup

Machine Learning Engineer @ Blue River Technology

About Dean Biskup

Dean Biskup is a Machine Learning Engineer currently employed at Blue River Technology, where he focuses on developing machine learning solutions for agriculture. He has a strong background in electrical and computer engineering, holding both a Bachelor's and Master's degree from the University of Illinois at Urbana-Champaign.

Work at Blue River Technology

Currently, Dean Biskup works at Blue River Technology as a Machine Learning Engineer. He has been in this role since 2022, focusing on developing machine learning solutions for autonomy in agriculture. Prior to this position, he served as a Data Science Intern at the same company in 2021 for three months. His work involves optimizing algorithms to function effectively within resource-constrained environments.

Education and Expertise

Dean Biskup studied at the University of Illinois at Urbana-Champaign, where he earned a Master of Science in Electrical and Computer Engineering from 2020 to 2022. He also completed a Bachelor of Science in Electrical Engineering from 2016 to 2020. His educational background provides a solid foundation for his specialization in resource-constrained machine learning.

Background

Dean Biskup has a diverse work history that includes several internships. He worked as a Software Development Intern at Citrix in 2019 for three months in Raleigh, North Carolina. He also held a position as a Part-Time Research Intern at Sandia National Laboratories in 2018 for four months. Additionally, he interned at Lucid Motors as an Electric Powertrain Intern in 2017 and at NIO as an Associate Engineer Intern in 2018.

Achievements

Dean Biskup specializes in resource-constrained machine learning, focusing on optimizing algorithms for efficient performance with limited computational resources. His work in developing machine learning solutions for agricultural autonomy reflects his commitment to applying his technical skills in practical settings. His varied internship experiences across different companies and locations contribute to his understanding of diverse work environments.

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