Researchers

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I have worked on Kazakh language models such as KazBERT(Eraly-ml/KazBERT) and others, recently i won shared task at SemEval workshop it was about how to detect ai in code and how to detect hidden ai code, system paper of our work was accepted and it will be published in ACLAnthology.

idk i research cool stuff

Research focus: any sort of evaluation methodologies for GenAI of any modality.

Research and simulations of PDE problems by using Fourier Neural Operator's architecture of neural networks.

Machine Learning Engineer at tilmoch.ai, where I mostly work on NLP applications for Turkic languages. At tilmoch.ai, I've worked on Tahrirchi Editor, tilmoch.ai Translator and Misollar. We also contribute to the open-source Turkic NLP community with the biggest Uzbek text corpora (UzBooks and UzCrawl), the SOTA Uzbek encode models (tahrirchi-bert-base and tahrirchi-bert-small), Karakalpak and Southern Uzbek Machine Translation models and dataset. At the same time, I am a BSc. in AI student at MBZUAI, where I am digging deeper into fundamentals of AI Engineering.

2 year Master degree Student

Interested in geometry

Information Technologies graduate and researcher. Published research in modeling, forecasting, and processing multidisciplinary area of AI. Open to collaboration on projects and research in machine learning and AI — the best way to reach me is by email.

Researched on Kazakh NLP, open for NLP/RL collaborations

Have written courseworks about brain drain in Kazakhstan and its impact to economic growth

ACR on tote jazu, use of RL for better eval

My research focuses on the interplay between machine learning, optimization, and mathematics. I develop algorithmic and computational methods for solving challenging problems in machine learning theory, discrete mathematics, and theoretical computer science. A recurring theme of my work is the use of large-scale optimization and high-performance computing as tools for scientific discovery. My contributions span machine learning theory, kernel methods, natural language processing, graph algorithms, combinatorial optimization, and high-dimensional geometry. In recent years, I have become particularly interested in computational approaches to mathematical research, where modern optimization techniques and GPU-based computation can uncover structures that are difficult to access through traditional analytical methods alone. More broadly, I aim to build bridges between theoretical foundations and practical computation, developing methods that are both mathematically rigorous and computationally effective.

My research interests include computer vision, multimodal AI, medical image analysis, object detection, vision-language models, and interpretable machine learning. I am particularly interested in developing robust AI systems for real-world applications and healthcare.

Developing supervised and unsupervised methods to classify guppy fish social behavior within population.

RL, Post training

Currently i am focused on CV based application on medical domain such as an early breast cancer detection.

Working as a Research Assistant at Nazarbayev University.

I am focusing on summarization, machine translation, but open to other topics.