David Roh
@davidroh
Aspiring software engineer with expertise in machine learning and computer vision.
What I'm looking for
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
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.
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.
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.
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
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.
Availability
Location
Authorized to work in
Job categories
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