Summary
Giorgi Tskhondia is a Data Scientist with 8 years of cross-industry experience turning physics and finite-element expertise into production-grade AI solutions. He has delivered measurable impact across banking, healthcare, and manufacturing—improving churn and forecasting models, automating large portions of operational workflows, and building semantic search and dialog systems. Comfortable from research to deployment, Giorgi combines PhD-level numerical modeling with practical ML engineering, especially in reinforcement learning and metric learning. He has led engineering teams on high-stakes subsea pipeline simulations and later translated that rigor into robust ML products and client-facing architectures. Based in Tbilisi, he is as much a tool-builder for independent research as a pragmatic problem-solver who consistently converts complex physical and business problems into deployable models.
8 years of coding experience
10 years of employment as a software developer
Mathematical Modeling, Numerical Methods & Program Complexes (PhD), Mathematical Modeling, Numerical Methods & Program Complexes (PhD) at Московский авиационный институт (национальный исследовательский университет)
Русский, English, Georgian, mingrelian, Chinese