ML engineer, AI engineer. Researcher.
PhD Candidate in Computer Science specializing in Deep Learning, Reinforcement Learning, Robotics, and the Vehicle Routing Problem (VRP). Driven to bridge academic research with state-of-the-art Machine Learning Engineering to build scalable, real-world intelligent systems.
SDU University
A university in Kazakhstan.
Sep 2022 — PresentTeaches machine learning, deep learning, and backend programming to computer science students.
• Provides lectures in machine learning, deep learning, and backend programming courses for computer science students.
SDU University
A university in Kazakhstan.
May 2024 — PresentLeads development of AI agents and a chatbot.
• Leads and develops several AI agents and builds a chatbot.
SDU University
A university in Kazakhstan.
Sep 2022 — PresentResearches vehicle routing problems and has published work on time uncertainty, deep reinforcement learning, and stochastic dynamic routing.
• Published an article titled “Recent developments in vehicle routing problem under time uncertainty: a comprehensive review.” • Published an article on “Deep reinforcement learning for stochastic dynamic vehicle routing problem” using deep reinforcement learning techniques; the paper appeared at ICECCO. • Published “Stochastic Dynamic Vehicle Routing Problem Survey” in the SDU Khabarwysy journal, analyzing relevant literature.
Suleyman Demirel University
2027Suleyman Demirel University
2022 — 2024Suleyman Demirel University
2018 — 2022Trained a reinforcement learning agent based on a Transformer model with a dynamic encoder and decoder to learn the routing policy of a single vehicle as customer orders appear over time.
Developed a full-pipeline algorithm for robots in the ObjectNav problem.
Developed a chatbot advising students on academic problems. The RAG system is based on SDU University documents and Claude.ai.
