Community geography
Explore where public community members live and see which local hubs are growing.
- Members
- 657
- Cities
- 80
- New / 30 days
- 198
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.
Abu Kanabek
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@abukanabek
I am a student at NSPM (RFMSh) Almaty. I am interested in AI and like to explore different parts of it.
Damir Assylbek
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@damiron
Data Scientist (NLP) · Beeline
Работаю дата сатанистом в Beeline (QazCode) над чат ботами с использованием RAG. Параллельно учусь на магистратуре в НУ и занимаюсь ресерчем использования ML в IoT
Nurzhan Amanbayev
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@asd
Data Scientist · Kazakhtelecom
Студент в НУ и по совмесительству работаю дата саентистом. I love math, videogames, cola zero, and lifting weights.
Bakdaulet Ismail
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@bakosh
IITU
I am just a person with ambitions who is constantly learning and trying to improve. I enjoy working on new projects, meeting motivated people, and developing my skills in technology and beyond. Я не понимаю что еще писать
Gauhar Assanbay
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@assanbayg
Nazarbayev University
Year 1 CS student @NU with an experience in SWE. I like doodling and reading.
daniyar kakimbekov
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@everypidigit
NLP MLE · Documentolog
Interested in NLP, compling, low-resource languages, really like embedding models. Would love to learn more theory about model training with PEFT, LoRA, qLoRA.