People in DSML Kazakhstan

R&D / Machine Learning Engineer в Computer Vision и разработке алгоритмов. Имею опыт в индустрии беспилотного транспорта (в экосистеме крупного финтеха), систем помощи водителю (ADAS в дочерней структуре международной компании Nice / Nortek) и геонавигации. Экспертиза: • Разработка и обучение детекторов/классификаторов (YOLO, RT-DETR, Faster R-CNN, EfficientNet и др). • Геометрическое CV (BEV, калибровка сцен, перспективные преобразования) и анализ сигналов (DTW, Фурье). • Инференс и оптимизация нейросетей (квантование, TensorRT, OpenVINO, ONNX). Стек: Python, C++, PyTorch, TensorFlow, NumPy, Pandas, Linux, ClearML. Интересны задачи на стыке науки, алгоритмов и коммерческого ML.

Hi! I’m Emil, a second-year M.S. student at the Graduate School of AI, Pusan National University. My experience includes designing neural network architectures, optimizing deep learning models, and multimodal learning, with a research focus on biosignals and medical image analysis.

I’m a high school student at Kokshetau BIL interested in olympiad mathematics, AI/ML, research, competitive programming, and mathematical visualization. I work mainly with Python and Manim and aim to grow toward machine learning engineering.

Full-stack developer focused on Machine Learning, Data Engineering, MLOps and LLM systems. I build RAG pipelines, AI-powered bots and data-intensive applications, from backend and infrastructure to model integration and deployment. Computer Science student at SDU University. Graduate of the nFactorial LLM Engineering program, with an academy-certified background in software engineering. Interested in large-scale data processing, production ML, and turning LLM research into real products.

International and National winner of Math Olympiads. High school student of Nazarbayev Intellectual School in Almaty. Kaggle Expert in notebook right now

Full-Stack Developer with ~2 years of commercial experience, a strong frontend foundation, and a growing interest in AI tools, ML and data. Currently at New Med, contributing to the development of 3 digital services: module design, frontend/backend, REST APIs and data handling. I design API contracts and role-based flows (JWT/RBAC), work with PostgreSQL, migrations and client–server integrations, and ship changes to production using Git, Docker and CI/CD. Before that, 1.5+ years at KamiQr (Junior Full-Stack Developer / Designer): built digital menu websites for businesses using an in-house website builder, working with business data, content structure, multilingual support and UI/UX. Bachelor's degree in Software Engineering from IITU (International Information Technologies University). Thesis project: DiplomaFlow, a full-stack platform with 10+ modules (authentication, roles, dashboard, Kanban tasks, notifications). Backend: Go (Gin), REST API, PostgreSQL, GORM, JWT/RBAC; frontend: Next.js/TypeScript, TanStack React Query; Docker and CI/CD with GitHub Actions. I design interfaces not just visually but around user flows: page structure, components, responsiveness, forms, application state and backend integration. Confident with Figma and CorelDRAW, so I understand both the technical and the visual side of a product. Technical Stack Frontend: React, Next.js (App Router), TypeScript, JavaScript, TanStack React Query, Vue 3, HTML, CSS, Tailwind CSS Backend: Go (Gin), Python, Java, REST API, gRPC, JWT, API contracts, microservices Databases: PostgreSQL, SQL, PL/SQL (Oracle), GORM, Database Design, Migrations, Redis Architecture: SOLID, modular monolith, RBAC, role-based flows, integration design DevOps: Git, GitHub, Docker, Docker Compose, CI/CD (GitHub Actions), Linux, Grafana / Metrics AI / Data: Python, Machine Learning, data processing algorithms, AI tools, automation Design: Figma, CorelDRAW Networks: Cisco Basics, TCP/IP

ML Engineer with 2+ years of experience in Computer Vision and ML, specializing in object segmentation, object detection, RAG systems, dataset optimization, and model training (Ultralytics, PyTorch, MMDetection, Detectron2) and RAG system development. Proven ability to automate workflows, lead small teams, and deliver scalable solutions. Strong Python skills with expertise in PyTorch, OpenCV, and data pipelines.

I'm Baidibek, a Nazarbayev University engineering graduate based in Astana, working in audit at Moore Kazakhstan. I also code and I'm getting into data science and ML, especially using data and AI to automate audit, finance, and education tasks.

QA Engineer specializing in API testing and backend/mobile app quality assurance. Addicted breaking software before users do. Skilled in Postman, Swagger, SQL, MongoDB, Grafana, Jira, Confluence, Git, DevTools, Allure TestOps, and Charles/Proxyman.

CS student at Nazarbayev University, mainly interested in machine learning and computer vision. I’ve worked on object detection with YOLO, LLM robustness, and several ML/data competitions, part of DataSci club, tech department. Right now I’m focusing on strengthening my understanding of classical ML, neural networks, and the math behind them, and I’m always interested in meeting people working on interesting ML projects or research.