People in DSML Kazakhstan

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.

ML/CV engineer from Kazakhstan. Experienced in ML for banking and Computer Vision systems for warehouse automation. Interested in MLops and different areas of Computer Vision.

Ex-Yandex, около 6 лет на ML R&D позициях, самые яркие: ML для умных протезов рук в Motorika; 3D CV в self-driving cars и применения LLM в образовании в Яндексе. После годового саббатикала перекатился в AI Safety, убеждён что это сейчас одно из самых значимых направлений работы, и что текущая гонка за AGI несёт собой за высокие катастрофические риски. Прошёл несколько fellowships, включая MATS и Anthropic Fellowship. Стажируюсь в Redwood Research, занимаюсь исследованиями в AI Control. Интересуюсь IFS терапией, SOTA методами в разных ML задачах, проблемой alignment (не супер оптимистичен в этом плане), педагогикой и образованием.

I am a Nazarbayev University graduate and Full-Stack Software Engineer with 5 years of experience specializing in the .NET ecosystem, Angular, and React. I am currently open to Backend, Frontend, or Full-Stack Developer roles where I can deliver scalable, high-impact technical solutions.

I am a fourth-year Information Systems student passionate about Data Science and Machine Learning. I have developed AI projects involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI assistants, and automated educational video generation. I enjoy building practical AI solutions with Python and continuously improving my skills in machine learning and deep learning.

I’m a Senior Software Engineer with 8+ years of experience building backend, full-stack, and data-driven systems for fintech, healthcare, education, and developer tooling. My main stack includes Kotlin, Java, Python, TypeScript, Spring Boot, FastAPI, React, Kafka, PostgreSQL, Kubernetes, Terraform, and cloud infrastructure. I have worked as a full-time engineer and in part-time CTO roles, leading small engineering teams, designing scalable microservice architectures, building observability platforms, and applying machine learning to scheduling, automation, forecasting, and product workflows. I’m especially interested in practical AI products, MLOps, data engineering, and the Central Asia AI ecosystem.