People in DSML Kazakhstan

I started my journey in AI and Machine Learning from a strong mathematics background and a curiosity about how intelligent systems understand language and human behavior. Today, I am a Ph.D. researcher in Computer Science at SDU University, working on NLP, machine learning, and AI-generated text detection. My research focuses on detecting AI-generated and AI-obfuscated text using transformer models, multilingual NLP, and contextual representations. I enjoy combining mathematical thinking with practical AI applications, from deep learning research and educational AI systems to real-world data processing and AI engineering. As a researcher from Kazakhstan, I aim to contribute to globally relevant AI research while helping grow the local AI and academic community. Open to research collaborations, academic networking, speaking opportunities, and AI-related projects.

As a Data Scientist with over 9 years of experience and a solid educational background, my professional journey has spanned diverse roles in the IT, banking, and data science sectors, including serving as a Full Stack Data Scientist and AI Engineer.

* AI researcher experienced in multimodal reasoning & perception, and interested in cracking visual intelligence. * Studying master's in Machine Intelligence at ETH Zurich.

Fresh Grad from CityUHK with a bachelor's degree in Computer Science, Artificial Intelligence specializiation. I love math and doing sports.

My research interests lie from developing large multimodal models to practical computer vision tasks. Prior to that I focused on developing methods for image-to-image tasks such as super-resolution, image/video enhancement, and digital image processing part of which have been accepted to top-tier conferences and deployed in production environments serving millions of users.

Software QA Engineer with 8+ years of experience testing web, desktop, API, and embedded automotive EV systems, combining manual and automation approaches to improve release quality and reduce production defects, along with a growing focus on using AI and Data to improve testing effectiveness. Experience spans REST microservices, trading platforms, banking, TV streaming, e‑commerce, and EV wall-box chargers in agile and hybrid (on-site, remote) environments. Quickly adapting to new tech stacks, owning automation frameworks, and collaborating closely with developers, testers, and product stakeholders. Using AI tools at a basic level to speed up test design, log analysis, and documentation, actively developing Data skills to move towards QA + Data hybrid roles.