People in DSML Kazakhstan

Machine Learning student specializing in NLP and LLM-based application systems. Built and shipped a production multi-tenant WhatsApp assistant serving three businesses from a single Flask process: RAG over a ChromaDB knowledge base (OpenAI embeddings, hot-reloadable index), GPT-4o-mini with tool calling, and auto-detected bilingual RU/KK dialogue with sticky per-flow localization. Designed a five-agent LangGraph question-generation engine using heterogeneous model routing: deterministic Python for mathematical integrity, low-cost models for generation, reasoning models for a Critic reflection loop with bounded backward retries, and Claude Sonnet for student-facing diagnostics. Applied practical LLM cost engineering: batch pre-generation, prompt caching, and routing each graph node to the cheapest model capable of the task. Strong mathematical background with a focus on applied NLP and scalable LLM systems.

Software engineer with a BSc and MSc (Information Systems, Nazarbayev University, CGPA 3.70, Top-1 by GPA in the MSc cohort) and a strong algorithmic foundation. Core stack: Python (ML, backend) and C/C++. Experienced in taking a project from prototype to a working service: model training, REST APIs with FastAPI, Docker containerization, CI/CD. Comfortable in Linux and with Git. First author of a peer-reviewed journal article, math olympiad medalist. English C1.

Data Scientist with 2+ year 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.

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.

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.