People in DSML Kazakhstan

16 years old, no experience, just started getting interested in data science and machine learning.

AI Engineer with experience in fintech, buildtech and edtech. I have experience in building RAG systems and working with LLM (fine tuning, hallucination fighting, eval pipelines and etc.) Stack: Python, Java, Kotlin

AI/LLM engineer from Kostanay. I build production RAG systems, LLM agents and automation pipelines — and I measure them instead of guessing. Examples: GraphRAG against vanilla RAG on the same corpus (+20 points on multi-hop questions), a document pipeline turning a 116-page tender into 745 requirements with page references and confidence, recall 92.2% on a hand-labeled gold set, and a deterministic evaluation harness with no LLM-as-judge (accuracy 85 to 100%). Stack: Python, FastAPI, LangGraph, Qdrant, Neo4j, PostgreSQL, Docker, Kubernetes. Open to remote work and contract projects.

Разрабатываю приложения и автоматизирую сервисы, активный VibeCoder. Сейчас погружаюсь в DS и ML, чтобы строить умные платформы и торговые алгоритмы на базе AI-агентов

I study ML&DL for further development in the field of AI and achieve results in this science.

hey, tryhards, weebs, nerds. interested in discussing anything related to classical machine learning and data science. don't care about your GPT wrapper vibecoded startup

I am interested in the mechanistic interpretability of LLMs and transformers in general. I hope someday we will know why LLMs work.