Summary
Vitali Avagyan is a Visiting Professor, data scientist and machine learning engineer with six years of industry and academic experience applying statistical modelling, deep learning and optimization to energy, finance and logistics problems. He holds a PhD in Energy Economics and Computational Optimisation and has led production ML and AWS infrastructure initiatives—serving as European lead for Terraform IaC at Air Products and building high-frequency forecasting and deep-learning pipelines. As co-founder and CTO of MyMagic and a researcher at Yerevan State University, he blends product-minded engineering with impactful teaching and open seminar leadership in NLP and ML engineering. Comfortable across Python, R, SQL, Linux and cloud platforms, he also brings a rare mix of formal optimisation (MIP, stochastic programming, AIMMS) and hands-on deployment experience. Notably, his background spans both rigorous energy-system modelling at Edinburgh and fast-paced startup delivery, reflecting an ability to move ideas from research to production.
6 years of coding experience
5 years of employment as a software developer
Bachelor degree, Mathematical Methods and Operations Research in Economics, magna cum laude, Bachelor degree, Mathematical Methods and Operations Research in Economics, magna cum laude at Armenian State University of Economics
Doctor of Philosophy (Ph.D.), Energy Economics and Computational Optimisation in Energy Systems Under Uncertainty, Doctor of Philosophy (Ph.D.), Energy Economics and Computational Optimisation in Energy Systems Under Uncertainty at Imperial College London
Master, Engineering, summa cum laude, Master, Engineering, summa cum laude at American University of Armenia
English, Russian, Armenian