People in DSML Kazakhstan

Machine Learning student specializing in NLP and LLM-based application systems. Built and shipped a production multi-tenant WhatsApp assistant serving three businesses from a single Flask process: RAG over a ChromaDB knowledge base (OpenAI embeddings, hot-reloadable index), GPT-4o-mini with tool calling, and auto-detected bilingual RU/KK dialogue with sticky per-flow localization. Designed a five-agent LangGraph question-generation engine using heterogeneous model routing: deterministic Python for mathematical integrity, low-cost models for generation, reasoning models for a Critic reflection loop with bounded backward retries, and Claude Sonnet for student-facing diagnostics. Applied practical LLM cost engineering: batch pre-generation, prompt caching, and routing each graph node to the cheapest model capable of the task. Strong mathematical background with a focus on applied NLP and scalable LLM systems.

Average Компуктер Вижн Enjoyer, open to connect/collaborate on CV projects, also interested in Embodied AI. Love cycling, tennis and anime

Software engineer with a BSc and MSc (Information Systems, Nazarbayev University, CGPA 3.70, Top-1 by GPA in the MSc cohort) and a strong algorithmic foundation. Core stack: Python (ML, backend) and C/C++. Experienced in taking a project from prototype to a working service: model training, REST APIs with FastAPI, Docker containerization, CI/CD. Comfortable in Linux and with Git. First author of a peer-reviewed journal article, math olympiad medalist. English C1.

Built top-tier R&D teams, launching AI/ML solutions globally across industries, Kaggle Master Top 14, Community Founder

I am a 3rd-year student at IITU University with about a year of experience as a data analyst intern at InDrive. Prior to that, I worked as an analyst at the consulting firm TOO Jumpik

Trying to make robot replace humans as much as possible on boring tasks. Also working on analyzing human motion with physics from videos. Looking into hyping world models.