APPLYING DATA ANALYTICS AND BI SYSTEMS TO BUILD A STUDENT DIGITAL PROFILE: THE CASE OF ASTANA IT UNIVERSITY
Sep 30, 2025 · Scientific Journal of Astana IT University
Public profile
@alenisaw
AI/ML Engineer
Young researcher in Applied ML and DL, focused on building practical AI systems that connect research ideas with real-world applications.
A few things that best show this member's work and contribution.
My current interests include computer vision, OCR, multimodal AI, RAG systems, and LLM-based automation for domain-specific and multilingual environments.
I may give research advice or help with events in Astana.
I expect a new connections in the my interest's sphere and collaborating in different projects, also looking for a job.
Experience, skills, projects, and achievements.
AI/ML Engineer
JSC "Astana IT University"
Sep 2025 — Jun 2026• Prepared and organized a 200-hour multilingual speech dataset for ASR and speaker diarization at the Research and Innovation Center “CyberTech”, focused on KZ/RU/code-switching data • Led annotation QA and dataset structuring, including guidelines, JSON schema, gold examples, consistency audits, error taxonomy, intern coordination, and handling of overlaps, language switches, and OOV cas
JSC "Astana IT University"
Jan 2025 — Aug 2025• Built the Digital Student Dashboard, a BI system for student digital profiles, analyzing data for more than 10,000 students across academic and activity indicators • Structured and validated GPA, IROS, and SSCI data, delivered analytical insights, and contributed to a research initiative that resulted in a publication and an official author’s certificate
Astana IT University
2023 — 2026A compact preview of this member's public research layer.
My current research focus is centered on Applied Machine Learning, Deep Learning, and Multimodal AI, with a strong interest in document understanding, OCR, vision-language models, and LLM-based systems. I am currently exploring synthetic data generation for low-resource Turkic languages, especially for OCR and document recognition tasks. This includes building realistic multilingual document datasets, designing generation pipelines, and preparing data for fine-tuning modern OCR/VLM models. Another important direction of my work is the development of practical AI systems based on RAG, LLM agents, and multimodal reasoning. I am interested in turning research ideas into usable AI tools for real-world domains such as document processing, legal technology, education, and urban surveillance.