People in DSML Kazakhstan

Leading compliance AI transformation efforts at a large bank, previously leading data and analytics at e-commerce, ex-management consultant.

Mathematician, working as quant researcher/data scientist in investment department. Curious about wide range of different areas. Open to new connections!

Galymzhan "Aleem" Issabekov is a Medical Doctor and PhD Candidate at Charité – Universitätsmedizin Berlin, working in clinical neuroscience. His research focuses on deep brain stimulation surgery and microelectrode recordings of single neurons in awake and sleeping patients, aiming to improve treatment for Parkinson’s disease. By studying human brain activity in vivo during neurosurgical procedures, his work explores mechanisms of brain stimulation, synaptic plasticity, and disease pathophysiology. Having trained in Asia, Europe, and the United States, his work has been shaped by diverse research environments.

I'm a student interested in researching multilingual NLP. My work focuses on Kazakh and its low-resource scripts. Read my papers on Kazakh: http://www.lrec-conf.org/proceedings/lrec2026/workshops/cawl/pdf/2026.cawl-1.8.pdf https://aclanthology.org/2026.abjadnlp-1.8.pdf

My name is Ildar Bikmamatov. I'm a full-stack developer, CTO, and the creator of BayLang — an open-source AI platform for building web applications, CRM, and ERP systems. I've been coding since 2003. My journey: - Started with Pascal in school in Kazakhstan (2003) - Competed in regional and national olympiads in informatics - Represented Kazakhstan at ACM ICPC in Almaty and Tashkent - Won 3rd place at IT Planeta in Linux administration - Built 30+ IT projects over 20 years — from freelancer to CTO - Created BayLang programming language — a compiler-based platform with its own programming language, component architecture, Open Core model, and Marketplace - Placed top 30 in Yandex Code Run 2023 (Machine Learning track)

I am an ELLIS PhD student at CISPA focused on foundation models, multimodal learning, and activation steering methods under supervision of Prof. Dr. Mario Fritz. My work spans promptable segmentation (SAM), domain generalization, and model soups. I have BMVC 2025, MICCAI 2024, and a Scientific Data 2024 papers, plus open-source contributions and dataset curation. I enjoy scaling experiments, careful evaluation/ablation, and building usable research code.