David RohDR
Open to opportunities

David Roh

@davidroh

Aspiring software engineer with expertise in machine learning and computer vision.

Zimbabwe

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in machine learning and software development to solve real-world problems.

I am a dedicated computer science student at Texas A&M University, pursuing a Bachelor of Science in Computer Science with minors in Math and Cybersecurity. My academic journey has been marked by a strong GPA of 3.71, with a focus on advanced coursework in algorithms, distributed systems, and machine learning. I have a passion for applying theoretical knowledge to practical challenges, which has driven my involvement in various impactful projects and internships.

During my internship at ASML, I successfully automated contamination labeling processes, achieving a remarkable 95% reduction in labor time. My work on optimizing validation tests projected significant cost savings for the company. Additionally, as an Undergraduate Research Fellow at Samsung Austin Semiconductor, I developed innovative tools that enhanced the efficiency of circuitry diagram analysis. My commitment to research is further exemplified by my role as an Undergraduate Machine Learning Researcher, where I designed a cost-effective hypoglycemia detection model that significantly improved accuracy.

Beyond technical skills, I have demonstrated leadership as the Director of Operations and Technology at Mehta Prep Tutoring, where I implemented data-driven decision-making processes. I thrive in collaborative environments and am eager to contribute my skills in software engineering and machine learning to a forward-thinking organization.

Experience

Work history, roles, and key accomplishments

SS
Current

Undergraduate Research Fellow

Samsung Austin Semiconductor

Aug 2024 - Present (10 months)

Developing a PyTorch/OpenCV tool to extract circuitry diagrams from SEM images, reducing manual analysis time and doubling reverse engineering efficiency. Selected for a $10,000 fellowship researching hardware security.

AS

Computer Vision / Software Production Engineer Intern

ASML

May 2024 - Jul 2024 (2 months)

Automated contamination labeling in Yieldstar metrology sensors with PyTorch CV, achieving a 95% reduction in labor time. Optimized C# validation tests projected to save $2.4M annually and reduced test report processing time from 295 hours to 9 minutes using Python scripts.

MT

Director of Operations and Technology

Mehta Prep Tutoring

Sep 2023 - Nov 2023 (2 months)

Migrated data from Google Sheets to PostgreSQL, enabling automated Tableau dashboards and data-driven decision-making for the leadership team, significantly reducing reliance on guesswork.

TU

Undergraduate Machine Learning Researcher

Texas A&M University

Sep 2023 - Jul 2024 (10 months)

Designed a smartwatch-based hypoglycemia detection ML model, improving accuracy significantly through advanced feature extraction and ensemble learning. Applied DSP techniques to enhance data reliability.

Education

Degrees, certifications, and relevant coursework

Texas A&M University logoTU

Texas A&M University

Bachelor of Science, Computer Science

2021 - 2025

Grade: 3.71

Pursuing a Bachelor of Science in Computer Science with Honors, along with minors in Math and Cybersecurity. Engaged in selected coursework including Design and Analysis of Algorithms, Distributed Systems, and Machine Learning. Achieved a GPA of 3.71 and a CS GPA of 3.76.

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