People in DSML Kazakhstan

Machine Learning Engineer SOFTMAX Company February 2026 - May 2026. I developed and researched machine learning models to solve the applied tasks of the project. I conducted a search and analysis of existing machine learning models, evaluated their applicability to the task at hand. Performed training, tuning, and optimization of models, as well as comparing their performance against various quality metrics. Conducted testing and validation of models in order to select the most effective solution. Analyze the experimental results and improved the quality of the models by selecting hyperparameters and changing the architecture. Integrated the selected models into the overall architecture of the system. Date Analyst NASAR SOLUTIONS Company June 2025 - September 2025 Collecting, processing, and analyzing data from various sources to identify key trends and patterns. Data preparation and cleaning before performing analysis and reporting. Development of SQL queries to extract the necessary information from databases. Create analytical reports and interactive dashboards to visualize key performance indicators (KPIs). Analyzing user behavior and making recommendations to improve the product and user experience. Conducting research and drawing conclusions based on the data obtained. Monitoring key business metrics and identifying the factors influencing their change. Start-up Website “https://ship-ai.app /” Developed and maintained an intelligent chatbot for the ship-ai platform. Researched and evaluated various large language models (LLM) and AI solutions for integration into the product. Developed prompta and scenarios of user interaction with the AI assistant. Tested the quality of the model's responses and optimized the accuracy of recommendations. Analyzed user queries and improved the quality of response generation.. Participated in the integration of AI components with the backend and API of the platform

ML/AI engineer, Astana IT University, Computer Science, CV, NLP, RAG, LLM, Python, FastAPI, Docker, YOLO, DB, vector DB, classic ML

NLP, LLM, and ML engineer with 5+ years of end-to-end experience across multilingual text classification, retrieval systems, model fine-tuning, and production deployment. Strong background in transformer architectures, BERT-based classification, Retrieval-Augmented Generation (RAG), GraphRAG on Neo4j, and MLOps best practices. Experienced in building scalable, business-facing AI systems from data preparation and experimentation to deployment, monitoring, and iterative improvement.

Developed modern frontend applications using React, Vue and TypeScript, focusing on responsive design, performance optimization, reusable components and clean code