Raymond Lee
Portland
Summary
Dynamic machine learning researcher with a proven track record in developing AI solutions. Previous experience at Oregon State University with the Materials Modeling and Development Group, where I gained hands-on experience collaborating on interdisciplinary projects. Proficient in Python and PyTorch, with a focus on delivering innovative machine learning solutions. Recognized for contributions at the ACMLC 2025 conference and ISEF.
Overview
1
1
year of professional experience
Work History
Independent Machine Learning Researcher
Personal Research Projects
05.2024 - Current
- Co-developed a dynamic AI system for lung cancer prediction with a peer, integrating CT scans, X-rays, and symptom conditions to enhance prediction accuracy; utilized Explainable AI (XAI) techniques to provide visual graphics and explanatory text clarifying the AI's decision-making process, generating comprehensive medical reports; currently submitted to IJCNN for workshop paper presentation, awaiting results.
- Developed a novel Ensemble Model that outperformed existing benchmarks on the EuroSAT land classification dataset; currently submitted to IJCNN for workshop paper publication, awaiting results.
- Currently developing a modified Mistral-7B LLM with Chain of Thought reasoning, leveraging custom data to help researchers generate structured research plans, recommend methodologies, and identify challenges, specifically targeting early-career researchers, interdisciplinary teams, and proposal writers.
Accepted Into ACMLC 2025 Research Conference
Asia Conference on Machine Learning and Computing
03.2025 - 07.2025
- Paper accepted for oral presentation at the 7th Asia Conference on Machine Learning and Computing, following a rigorous review process. The project explores the application of AI for lung cancer classification.
Research Internship
Oregon State University
06.2024 - 09.2024
- Collaborated with the Materials Modeling and Development Group at Oregon State University to conduct advanced research in materials science.
- Utilized a Vacuum Arc Melter to develop and refine metal alloy combinations, classified into "Glass" and "Crystals" categories based on their structural properties.
- Tracked and analyzed the performance of various alloy compositions within both categories, ensuring precision and consistency in research findings.
ISEF Qualifier
Beaverton Hillsboro Science Expo
03.2024 - 03.2024
- Awarded 1st place in the Computer Science category for a Machine Learning-driven Lung Cancer Classification project.
- Earned one of 7 finalist spots at the Beaverton-Hillsboro Science Expo, demonstrating cutting-edge innovation in healthcare technology.
- Successfully advanced through the finalist selection process and earned ISEF Qualifier status, placing in the top 4% of participants across the entire fair.
Education
High School Diploma -
Westview High School
Portland, OR05-2026
Skills
- Python – Experience in developing machine learning and data analysis solutions
- PyTorch – Hands-on experience with deep learning models and training workflows
- Scikit-learn – Familiar with applying machine learning algorithms and evaluating models using metrics like F1 score, AUC, Precision, Recall, MAE, and others
- NumPy – Proficient in data manipulation and numerical computing for machine learning tasks
- llamacpp – Experience with locally running large language models (LLMs)
- CUDA Optimization and GPU Resource Management – Skilled in optimizing machine learning training using GPU resources for performance efficiency, including techniques like mixed precision and gradient checkpointing
Timeline
Accepted Into ACMLC 2025 Research Conference
Asia Conference on Machine Learning and Computing
03.2025 - 07.2025
Research Internship
Oregon State University
06.2024 - 09.2024
Independent Machine Learning Researcher
Personal Research Projects
05.2024 - Current
ISEF Qualifier
Beaverton Hillsboro Science Expo
03.2024 - 03.2024
High School Diploma -
Westview High School
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