Huy Hoangg Nguyen

- Implemented backend-related tasks such as database, APIs and cloud deployment. - Redesigned and extended the GUI to support advanced machine learning workflows, including anomaly detection, instance segmentation, and oriented object detection. - Integrated features such as UMAP for dimensionality reduction, customizable neural network architectures, explainable AI modules, and real-time camera inferencing. - Architected the underlying codebase for scalability and long-term maintainability.

- Assist in energy system modeling and analysis using Python. - Simulate and optimize energy systems with PyPSA and Snakemake. - Actively contributed to open-source repositories in the field.

Share educational content and exam preparation strategies for the Đánh Giá Năng Lực (VNU-HCM Competency Assessment Test). Produced and managed over 30 videos helping students improve their performance through structured reviews, practice sessions, and exam tips.

Developed a Python-based GUI to support internal computer vision workflows, designed to three core use cases: image classification, image segmentation, and object detection.

- Supported research activities in the Wasserstoffatlas project. - Worked with geographic information systems (GIS) using QGIS and Python.

Key competencies: Computer Vision, (Un)supervised Learning, Reinforcement Learning, Deep Learning, Embedded AI, Cloud Computing, Database Systems, Software Engineering, IT Security, IT Laws, Linear Algebra.

Key competencies: Data Science, Applied Control Engineering, Sensor Technology, Cloud Computing, German.

Key competencies: Control Theory, Electrical Drives, Electronic Circuits, Microprocessor Architecture, Calculus, Statistics.