People in DSML Kazakhstan

I’m a Frontend Developer with 3+ years of commercial experience building modern, scalable, and user-friendly web applications. I specialize in JavaScript, TypeScript, React, and Next.js, with a strong focus on writing clean, maintainable, and high-performance code. I enjoy staying up to date with the latest technologies and industry trends, especially in the field of AI. I actively explore and integrate AI-powered tools into my workflow to improve productivity, streamline development, and deliver better user experiences. I’m passionate about solving complex problems, continuously improving my skills, and collaborating with teams to build high-quality products that create real value for users.

Инженер с 5+ годами в разработке, последний фокус — прикладной AI. Собираю и деплою production LLM-системы: чат-бот-администратор для бизнеса (Claude SDK + Supabase + Green API), агентные пайплайны на MCP, RAG на Google Gemini Enterprise. Docker, VPS, выбор и интеграция foundation-моделей — в ежедневном стеке. Сертифицирован Google (Gemini Enterprise Agent Development).

Nazarbayev University, Bachelor’s degree in Computer Science. Full-stack developer | AI Engineer Instruments: Python, Django, PHP, FastAPI, REST API, Inertia, Javascript, Typescript, etc.

Data Scientist and AI Researcher with hands-on experience in Machine Learning, NLP, Computer Vision, and LLM applications, passionate about helping students apply Data Science to real-world problems.

Frontend developer (React, Next.js, TypeScript) with experience at NITEC and GTS, looking for a junior position.

Data scientist | ML engineer specializing in FinTech, with hands-on experience spanning anti-fraud systems, portfolio risk management, and ML infrastructure. My focus is on building reliable, end-to-end data solutions—from engineering transactional feature stores to deploying models into core banking systems. Having worked across R&D, ML Validation, and Portfolio Management (including IFRS 9 compliance and PD modeling), I bridge the gap between complex business requirements and technical execution. Beyond classical machine learning (XGBoost, LightGBM) and data engineering (PySpark, Airflow), I actively develop with Generative AI. Recently engineered a multi-agent financial risk investigation assistant using LangGraph, Claude API, and Model Context Protocol (MCP) to automate the triage of suspicious transactions. Core Stack: Python, SQL, Pandas, NumPy, PySpark, Docker, MLflow, Airflow, LangGraph.

Principal Data Scientist at Wasl This is a reminder to myself to fill out this form