Alvard Barseghyan is a skilled professional with extensive experience in research, teaching, and data analysis. Currently serving as a CV Research Engineer at YerevaNN and as an AI Teaching Specialist and Python Teaching Specialist at the Foundation for Armenian Science and Technology (FAST), Alvard is involved in teaching AI and Python fundamentals to high school students as part of the "Generation AI" project. Previously, Alvard held the position of University Lecturer at Yerevan State University and worked as a Research Engineer at Magical Labs, focusing on EEG signal processing and neural network architecture development. Alvard's background includes a role as a Data Analyst at the Moscow Institute of Physics and Technology (MIPT), where projects centered on predicting university ratings and FWCI for scientific papers. Alvard holds a Bachelor's degree, a Master's degree, and a Postgraduate degree in Molecular Dynamics and Bioinformatics from MIPT.
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