Summary
Muhammad Rizqyawan is a junior researcher and machine learning engineer with 11 years of hands-on experience in research labs, developing data-driven models and lab-scale prototypes—most recently building an ECG irregularity detection system. Based in Bandung, he bridges academic research and practical engineering by handling dataset curation, model training and optimization, literature review, and collaborative hardware integration. He has taught as a university lecturer, designed web experiences earlier in his career, and maintains an educational AI presence on Instagram (@belajar_ai), signaling a commitment to public-facing knowledge transfer. Currently pursuing a PhD in Computer Science at the University of Glasgow, he combines rigorous academic training with applied ML projects focused on healthcare signal classification and reproducible research workflows.
11 years of coding experience
7 years of employment as a software developer
SMAN 1 Cicalengka
Master's degree, Game and Interactive Media Design, Master's degree, Game and Interactive Media Design at Institut Teknologi Bandung (ITB)
Bachelor of Computer Science, Informatics Engineering, Bachelor of Computer Science, Informatics Engineering at Universitas Komputer Indonesia Bandung
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Glasgow
Indonesian, Sundanese, English