I'm Nguyen Anh Khang, a results-driven MS in Computer Science and AI researcher with hands-on experience designing and optimizing deep learning models, especially in computer vision and multi-modal AI. I enjoy turning research prototypes into production-ready solutions, as demonstrated by winning first place in the IEEE AVSS 2025 AI Safety Challenge and building multi-modal medical AI systems. I thrive in bridging research with scalable cloud infrastructure, leveraging PyTorch, ONNX Runtime, Docker, AWS, and GitHub Actions to create robust pipelines. I'm excited to contribute to innovative AI systems in healthcare, autonomous safety, and multi-modal reasoning, while continuing to sharpen my skills through impactful collaborations.

Nguyen Anh Khang

I'm Nguyen Anh Khang, a results-driven MS in Computer Science and AI researcher with hands-on experience designing and optimizing deep learning models, especially in computer vision and multi-modal AI. I enjoy turning research prototypes into production-ready solutions, as demonstrated by winning first place in the IEEE AVSS 2025 AI Safety Challenge and building multi-modal medical AI systems. I thrive in bridging research with scalable cloud infrastructure, leveraging PyTorch, ONNX Runtime, Docker, AWS, and GitHub Actions to create robust pipelines. I'm excited to contribute to innovative AI systems in healthcare, autonomous safety, and multi-modal reasoning, while continuing to sharpen my skills through impactful collaborations.

Available to hire

I’m Nguyen Anh Khang, a results-driven MS in Computer Science and AI researcher with hands-on experience designing and optimizing deep learning models, especially in computer vision and multi-modal AI. I enjoy turning research prototypes into production-ready solutions, as demonstrated by winning first place in the IEEE AVSS 2025 AI Safety Challenge and building multi-modal medical AI systems.

I thrive in bridging research with scalable cloud infrastructure, leveraging PyTorch, ONNX Runtime, Docker, AWS, and GitHub Actions to create robust pipelines. I’m excited to contribute to innovative AI systems in healthcare, autonomous safety, and multi-modal reasoning, while continuing to sharpen my skills through impactful collaborations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Advanced

Work Experience

Research Assistant at Chang Gung University
February 1, 2024 - January 1, 2026
Developed deep learning pipelines for early accident anticipation using YOLO and CLIP models; optimized performance and secured 1st Place at the Taiwan AI Safety Challenge (IEEE AVSS 2025). Designed lightweight multi-granularity AI architectures for micro-action recognition, balancing accuracy and efficiency; research submitted to IEEE Transactions on Multimedia (under review). Built a multi-modal diagnostic AI system integrating clinical and imaging data using CNNs, achieving 90% AUC for Liver Fibrosis classification.
Software Engineer at FPT Software
November 1, 2021 - January 31, 2024
Maintained and extended a large-scale production platform (Canon Canada), integrating third-party APIs and implementing feature improvements to keep services scalable and reliable. Collaborated closely with cross-functional teams (QA, product, international clients) through design discussions, issue triage, and delivery reviews.
Front-end Developer at cisbox Software Ltd
September 1, 2021 - November 30, 2021
Developed analytical dashboards for a factory management platform, visualizing complex industrial data using React and TypeScript.

Education

Master of Science in Computer Science and Information Engineering at Chang Gung University
February 1, 2024 - January 1, 2026
Bachelor of Information Technology at University of Information Technology, Ho Chi Minh City
September 1, 2018 - September 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Life Sciences, Education, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert