Summary
Khazhak Galstyan is a machine learning researcher with eight years of experience building and applying ML systems, currently focused on semi-supervised object detection at YerevaNN. He combines an academic foundation in applied mathematics (BSc and MSc from Yerevan State University) with hands-on industry work at companies including Huawei, AimStack, and SuperAnnotate. Khazhak has progressed from teaching and early engineering roles to research positions, demonstrating an ability to translate theoretical methods into applied computer vision solutions. Based in Colombia, he brings international experience and a track record of internships-to-research transitions that suggest strong adaptability and fast learning. Notably, his GitHub profile highlights focused research work rather than broad contribution volume, indicating depth in a specialized niche.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Yerevan State University
8.7/10, 8.7/10 at PhysMath spec. school
Armenian, Russian, English