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Arypzhan AbenAA
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Arypzhan Aben

@arypzhanaben

AI researcher at Khoja Akhmet Yassawi International Kazakh–Turkish University who evaluated WavLM-Large for Kazakh child speech disorder detection.

Kazakhstan
Message

What I'm looking for

I'm open to remote research and AI/ML engineering roles.

At Khoja Akhmet Yassawi International Kazakh–Turkish University, I research AI for low-resource speech technology and teach machine learning and neural networks. My doctoral research focuses on detecting and classifying speech sound disorders in Kazakh-speaking children.

For this research, I audited a corpus of more than 5,000 child speech recordings and metadata records. I developed and benchmarked WavLM-Large and other classifiers, using subject-independent partitions to reduce child and speaker leakage.

In a three-class test covering lambdacism, rhotacism, and sigmatism, my WavLM-Large-based system achieved 79.07% accuracy, 79.44% balanced accuracy, and 78.97% macro-F1. These are experimental results, not clinical diagnostic performance.

My published research also covers deepfake voice detection, accessible speech technology, recyclable-waste recognition, and environmental computer vision. I contribute to an AI-supported gamified digital environment for personalized natural-science education and participate in the eVoiceNet research network.

Experience

Work history, roles, and key accomplishments

KU
Current

Doctoral Researcher — Speech AI and Applied Deep Learning

Khoja Akhmet Yassawi International Kazakh–Turkish University

Jan 2024 - Present (2 years 10 months)

Researches automatic detection and classification of speech sound disorders in Kazakh-speaking children, focusing on low-resource language resources and model generalization. Builds GPU-based model training, validation, and testing pipelines; analyzes class-specific errors and documents limitations for scientific reporting.

KU

Lecturer — Machine Learning and Neural Networks

Khoja Akhmet Yassawi International Kazakh–Turkish University

Teaches machine learning, neural-network fundamentals, and practical Python-based model development, including experimental evaluation and reproducible workflows. Designs learning materials, applied assignments, and project-based exercises in machine learning and AI.

Education

Degrees, certifications, and relevant coursework

KU

Khoja Akhmet Yassawi International Kazakh–Turkish University

PhD Candidate, Information Systems

2024 -

Ongoing PhD in Information Systems with a focus on AI for low-resource speech technology.

Gazi University logoGU

Gazi University

MSc, Information Systems

MSc in Information Systems from Gazi University.

KU

Khoja Akhmet Yassawi International Kazakh–Turkish University

BSc, Information Systems

BSc in Information Systems from Khoja Akhmet Yassawi International Kazakh–Turkish University.

Tech stack

Software and tools used professionally

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