Community geography
The total includes every profile, including private ones. Geography and growth use the public directory.
- All profiles
- 1,145
- Cities
- 89
- New / 30 days
- 300
Community in action
The people behind DSML Kazakhstan events, research talks, olympiads, competitions, and community formats.
Organizing & knowledge
Olympiads & competitions
People & culture
All people
Browse public community profiles by work, location, or collaboration interests.
Olzhas Alseitov
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@Hancar
Senior AI Developer · NITEC
I am an AI Engineer focused on applied LLM systems, NLP, RAG, model adaptation, and AI infrastructure for real-world products. I work on building practical AI assistants, evaluation pipelines, and domain-specific solutions for public sector and enterprise use cases.
Omatillo Fazliddinov
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@Albert
Xuzhou University of Technology
Third-year AI&CS student | Computational Biology & Pathology | Bioinformatics & AI. International student in China from Uzbekistan, focused on medical AI research.
Rustem Takhanov
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@k-nic
Nazarbayev University
Rustem Takhanov is a mathematician at Nazarbayev University whose research spans discrete geometry, combinatorics, optimization, machine learning theory, and theoretical computer science. His recent work focuses on high-dimensional kissing arrangements and sphere packings. In 2026, together with collaborators, he constructed a configuration of 841 spheres kissing a central sphere in 12-dimensional Euclidean space, improving a lower bound that had stood since the work of Leech and Sloane in 1971.
Sanjar Ğabithan
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@sansei
ML Engineer
AI/ML engineer who designs and ships LLM-backed systems end to end. Built a production retrieval-augmented memory service for an LLM agent from scratch: hybrid retrieval (BM25 plus vector cosine, fused with Reciprocal Rank Fusion), LLM-driven structured extraction with rule-based fallback, contradiction handling over an evolving knowledge store, and graceful degradation when the model backend is unavailable, all containerized behind a FastAPI service. I care about the parts that make AI systems survive contact with production: latency budgets, failure modes, retrieval quality, and clean service contracts. My foundation is real-time ML systems on real hardware (KAUST MSc, GPA 3.88), where I cut a perception pipeline's per-frame latency from minutes to milliseconds, and multi-model AI orchestration, including a 1st-place hackathon pipeline that gated heavy foundation models and a GPT-4o reasoning layer behind a lightweight filter for cost control. I am looking to apply this systems-and-orchestration mindset to enterprise LLM infrastructure and to grow into an architecture-owning role. Native Qazaq and Russian, professional English, based in Astana.
Расул Утепбергенов
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@rasulutepbergenov
AI Engineer / Async Backend Developer.
AI Engineer & Python Developer. Создаю ИИ-агентов, асинхронный бэкенд и CV-системы под брендом ASCEND AI.