Vương Đỗ

Information Technology undergraduate specializing in Machine Learning, Deep Learning, and Cybersecurity. Proven experience in architecting multimodal malware detection frameworks, fine-tuning Transformer models, and engineering low-latency inference pipelines. Proficient in PyTorch, Scikit-learn, Docker, and RESTful API deployment.

AI Research Assistant at Lab of Hanoi University of Civil Engineering (2025 – Present)

• Literature Review & Modeling: Researched, implemented, and benchmarked Machine Learning and Deep Learning architectures for cybersecurity tasks.
• Pipeline Engineering: Designed automated data preprocessing, feature engineering, and model training pipelines using PyTorch and Scikit-learn on Linux environments.
• Academic Writing: Prepared technical reports, documented experimental metrics, and collaborated with faculty advisors to author peer-reviewed conference manuscripts.

B.S. in Information Technology – Hanoi University of Civil Engineering (2023 – 2027)