Zhastay Yeltay
Research Assistant (Whf) @Rheinische Friedrich-Wilhelms-Universität Bonn
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WORK HISTORY
Research Assistant (Whf) @Rheinische Friedrich-Wilhelms-Universität Bonn
Bonn, DE
Contributing to the GenAIvatar project in the Visual Computing Research Group at the University of Bonn, focusing on generative AI and human motion synthesis.Designing and refining prompt engineering strategies for Text-to-Motion models to improve motion quality and semantic alignment.
EDUCATION
Master's Program / EPAM SCHOOL of Digital Engineering
Data Engineering, Data Engineering
Mälardalen University
Master of Science - MS, Computer Software Engineering
The University of Bonn
Master's degree, Computer Science
Al-Farabi Kazakh National University
Bachelor's degree, Information Security Systems
ABOUT ZHASTAY YELTAY
Data & NLP Engineer | Big Data | Machine Learning | Cloud Data PipelinesFocused on crafting high-performance, adaptable data and NLP pipelines, with a commitment to delivering robust, reliable, and interpretable machine learning models across diverse business challenges. Experienced in automating ETL/ELT workflows and optimizing processes for data integrity, security, and seamless integration, using leading technologies like Apache Spark, Kafka, TensorFlow, and cloud platforms.Expertise includes:Applied NLP: Text classification, language modeling, sentiment analysis, multilingual corporaData Engineering: Real-time streaming, batch processing, ETL/ELT pipeline automationProgramming & Databases: Python, SQL, Pandas, PySpark, PostgreSQL, NoSQLBig Data & Cloud: AWS, Azure, Databricks, Google BigQuery, scalable architecturesDevOps & Automation: CI/CD workflows, Docker, Terraform, Infrastructure as CodeCommitted to innovation in data-driven and AI-powered solutions, blending analytical rigor with practical implementation. Thrive on collaborating with interdisciplinary teams to build data products that empower informed decisions, enhanced automation, and smarter business workflows. Passionate about transforming raw data into strategic insights and advancing natural language technologies for emerging domains.
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