People in DSML Kazakhstan

True artificial intelligence begins with understanding natural intelligence — by exploring AI in the way natural intelligence has been developed through evolution

My name is Damir. I have a degree in Mathematics student at Nazarbayev University and am an aspiring ML/AI Engineer. I have experience building backend systems through hackathons and various machine learning research projects. I have worked with Django and FastAPI and have deployed applications using Streamlit and Render. I also have experience with PostgreSQL. In my most recent hackathon project, I used it to manage customer databases for a financial services company as part of an automated ticket-routing system. In addition, I have experience in machine learning through two research internships, where I worked with computer vision models and ML pipelines. I am currently studying to become an AI Engineer through Outpeer.kz, covering machine learning, natural language processing, and computer vision. I actively participate in hackathons and have placed among the winners twice. I also have a solid foundation in classical machine learning. In one hackathon, I developed an anomaly detection system for network packet streams using an Autoencoder and DBSCAN, which earned first place. Overall, I am looking for an opportunity to continue building my career, expand my expertise, and grow as a professional.

Master’s student in AI at Bocconi University, building on a solid foundation with a BSc in AI from the University of Pavia/Milan. Deeply passionate about the practical applications of Deep Learning, GenAI, LLMs, and Autonomous Agents.

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 an Information Systems graduate specializing in Python backend engineering and generative AI integrations. Experienced in building scalable, asynchronous REST APIs with FastAPI, managing containerized environments using Docker, and orchestrating LLM workflows for production-ready AI products.

ML engineer and researcher with 2.5+ years of experience in computer vision and generative AI. I specialize in diffusion models (fine-tuning FLUX, ControlNet, LoRA), portrait animation pipelines, video generation, and the development of generative CV systems—from researching SOTA methods to production deployment.