Javahir Abbasova

Javahir Abbasova is a Machine Learning Engineer with a diverse background in machine learning, computer vision, and software development. Experience includes building BERT-based models for content personalization at Typeface, mentoring undergraduate students in the Early Research Scholars Program at UC San Diego, and generating synthetic datasets as a Computer Vision Student Researcher in the UCSD Su Lab. Previously, Javahir worked as a Data Scientist and Machine Learning Engineer at INFORM GmbH, focusing on passenger flow and flight delay predictions for airports while establishing a cloud-native MLOps Pipeline. Educational credentials include a Master's degree in Computer Science from UC San Diego and a Bachelor's degree in Mathematics and Computer Science from FH Aachen University of Applied Sciences.