My name is Shayakhmetov Nurlan, and I was born in Almaty, Kazakhstan. I am a Kazakh by nationality. My primary specialization lies in fluid and gas mechanics, mathematical modeling, and process simulation. My research focuses on modeling and optimizing uranium extraction using the in-situ recovery (ISR) method, as well as applying artificial intelligence (AI) to enhance these processes. Education I obtained my Bachelor's degree from Al-Farabi Kazakh National University (KazNU) in 2013, graduating from the Faculty of Mechanics and Mathematics. Following this, I pursued a dual-degree Master's program between Lorraine University (France) and KazNU from 2013 to 2015. In 2017, I began my doctoral studies at KazNU, where I successfully defended my PhD in 2024. My dissertation was titled "Optimization of Operating Modes in the Development of Deposits Using the In-Situ Recovery Method", specializing in mechanics. Certifications Throughout my career, I have continuously enhanced my expertise through various certifications, including: 2016 – Field trip completion at the Tortkuduk uranium mining site (KATKO JV LLP) 2016 – HP Accredited Technical Associate (HP ATA – Connected Devices, HP) 2017 – Reservoir Geomechanics (Stanford University, Lagunita) 2018 – Well Log Analysis (Total Professors Associates) 2020 – Python for Everybody (Coursera Specialization, University of Michigan) 2020 – Data Engineering, Big Data, and Machine Learning on GCP (Google Cloud, Coursera) 2020 – Machine Lea