People in DSML Kazakhstan

ML Engineer specialising in computer vision: object detection, text recognition, and biometrics. I own tasks end-to-end — data collection and labelling, multi-GPU training, evaluation, inference API, and release through a CI/CD pipeline with dev / stage / prod environments. Stack: Python, PyTorch, OpenCV, ONNX Runtime, Docker, PostgreSQL, SQL. Alongside this, a strong quantitative foundation — probability, mathematical statistics, econometrics and causal inference — so I'm equally comfortable with tabular data and product analytics.

Have an experience more than 2 years in international company Netcracker Technology as Backend developer and background at Ai tk solve the production issues

I am a Computer Science student and Full Stack Developer with experience building AI-powered applications, backend systems, and production-ready products. I enjoy working with LLMs, RAG, AI agents, and machine learning, and I’m passionate about solving real-world problems through AI and scalable software.

I do research in NLP & AI. I enjoy reading new papers ideas, and exploring the opportunities field can give

Python Backend developer seeking for interesting projects and suggesting easy solutions for complicated problems. Open to new experience and learning.

Python Backend Developer with nearly four years of commercial experience building microservice-based and AI-powered applications. I work with Python, FastAPI, Django REST Framework, PostgreSQL, SQLAlchemy, asynchronous programming, Kafka, WebSockets, background tasks, caching, and Docker. My experience includes educational platforms, government systems, AI integrations, audio and document processing, database migrations, web scraping, and automation. My goal is to grow toward system-level engineering and contribute to technically challenging products where software interacts with the physical world.

Full-stack developer with a heavy backend experience in Python. 3+ years as a backend dev. 2+ years as a full-stack dev.

Experience in Big4, currently validate scoring models. Interests in Supervised learning, boosting models, XGBoost, LightGBM, Catboost(but not limited with them)!