Summary
Nhut Huynh is a Machine Learning Engineer with 11 years of experience combining academic research and industry practice in computer vision, digital image processing and applied machine learning. Based in Kiel, Germany, he holds a Master’s in Intelligent Systems and has driven production and research projects from deep-learning-based digital hologram reconstruction to spectral algae classification. His background spans full-stack software engineering and research roles where he delivered robust systems—such as a scalable online whiteboard supporting 50+ concurrent users and a signature verification system with >90% accuracy. Comfortable with Python, TensorFlow, MATLAB, Java, .NET and C/C++, he often bridges algorithm design and practical deployment. Notably, his work frequently focuses on extracting actionable results from noisy scientific and spectral data, reflecting a pragmatic blend of experimentation and engineering.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, 77.6%, Bachelor of Engineering (B.E.), Computer Science, 77.6% at Ho Chi Minh University of Technology
Master's degree, Information Engineering, 1.8 (German grading scale), Master's degree, Information Engineering, 1.8 (German grading scale) at Fachhochschule Kiel
German, English, Vietnamese