Pace Ockerman
@paceockerman
Aspiring computer scientist with expertise in machine learning and linguistics.
What I'm looking for
I am a dedicated computer science student with a dual degree in Linguistics, currently pursuing my B.S. at the University of Maryland. With a strong GPA of 3.9, I have developed a solid foundation in both technical and analytical skills. My experience includes a technical internship at ARLIS, where I trained computer models to predict personality traits from text and presented my findings at a conference as part of a top project.
Additionally, I have interned at the JHU Applied Physics Lab, where I improved missile defense systems and worked with classified computing systems. My role as a Teaching Assistant allowed me to co-lecture a course on the Python Flask web framework, enhancing my ability to communicate complex concepts effectively. I am passionate about leveraging my skills in machine learning and data analysis to solve real-world problems.
Experience
Work history, roles, and key accomplishments
Technical Intern
ARLIS | RISC Initiative
Jun 2023 - Aug 2023 (2 months)
As a Technical Intern, I trained computer models to predict personality traits from text and implemented machine learning models for sentiment analysis. My project was selected as a top presentation at the ARLIS conference.
Technical Summer Intern
JHU Applied Physics Lab
Jun 2022 - Aug 2022 (2 months)
During my internship, I improved missile defense systems by upgrading computer systems using C++. I worked with classified data and ensured the protection of sensitive information.
Education
Degrees, certifications, and relevant coursework
University of Maryland, College Park
B.S. in Computer Science & B.A. in Linguistics, Computer Science & Linguistics
2020 - 2024
Grade: 3.9
Pursued a dual degree in Computer Science and Linguistics, focusing on the intersection of technology and language. Achieved a GPA of 3.9 while engaging in various relevant coursework and projects.
Availability
Location
Authorized to work in
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