Pace OckermanPO
Open to opportunities

Pace Ockerman

@paceockerman

Aspiring computer scientist with expertise in machine learning and linguistics.

United States

What I'm looking for

I am looking for opportunities that allow me to apply my machine learning skills in a collaborative environment, focusing on innovative projects that drive technological advancement.

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

AI

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.

UM

Teaching Assistant

University of Maryland

Aug 2022 - May 2023 (9 months)

I co-lectured a student-initiated course on the Python Flask web framework and created coding assignments for 35 students, enhancing their programming skills.

JL

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 logoUP

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.

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