Hello! I’m Dauzhan.

I’m a high school student from Kazakhstan. I build applied machine learning projects and participate in competitive programming tournaments.

My current interests include natural language processing, image segmentation, and computer vision. I also have solid experience solving algorithmic problems on Codeforces.

GitHub Codeforces Kaggle LinkedIn Contacts

02 / About

Building at the intersection of AI and informatics.

I am a student at Specialized Lyceum No.165 from Almaty, Kazakhstan. I have a background in international informatics and artificial intelligence olympiads. My current research interests focus on applied machine learning. Particularly, I develop models that work with biomedical image analysis and MRI segmentation.

I like taking that same style into Kaggle-style experimentation, machine learning projects, and research-oriented prototypes — from NLP pipelines to computer vision systems.

03 / Projects

Selected projects

Un-Definer

Basic yet handy Chrome/Chromium extension for Codeforces pages.

JavaScript · CSS

Kaggle Repository

Fast experimentation notebooks, ML baselines, CUDA-aware pipelines, and submission systems. These are the foundational resources to build the comprehension of the ML/AI contests.

Python · CUDA · C++

QOJ Solutions

Competitive programming solutions and writeups focused on algorithms and implementation at Qingyu's Online Judge platform. Most of the solutions are designed to tackle ICPC-styled contests. The selection was based on the highly successful and elegant submissions.

C++ · STL · Algorithms

Fake Face Detection

This is a project-solution for an AI-generated face detection task from the AIIS Winter Contest. The project utilizes computer vision for detecting generated or manipulated face imagery.

Python · CV · PyTorch

04 / Awards