Arystan Kairbayev
Almaty
Summary
Student at University of Michigan with extensive experience as an AI, Data, and Backend Solutions Developer. Proven ability to transform complex challenges into efficient, automated solutions. Expertise in backend and web development, APIs, databases, and AI/ML systems, focusing on creating reliable and scalable technology that drives results, and particularly interested in technological healthcare.
Overview
2
2
years of professional experience
Work History
Data Scientist
The Global Career Accelerator
Michigan
08.2025 - Current
- Worked on real-world projects simulating an internship, applying coding, data analysis, and visualization to solve business problems.
- Gained practical experience in Python, SQL, and analytical workflows while developing skills for data-driven decision-making.
Back End Developer
ALMATY SEMA HOSPITAL, TOO
Almaty
01.2025 - Current
- Helped a hospital go digital by building call center software, creating math models for supply planning, and optimizing daily processes with Machine Learning.
- Also developed a secure AI WhatsApp bot agent connected to the internal database with automated data refresh and robust access controls.
Full-stack Developer
nFactorial Incubator
Алматы
06.2023 - 08.2023
- Worked on HelpMeSolve, a startup that leverages AI to help users prepare for coding interviews by explaining complex algorithmic problems and guiding them through solutions.
- Contributed to full-stack development, integrating AI models with a user-friendly platform.
Education
Bachelor's degree - Data Science
University of Michigan
01.2029
High School Diploma -
galaxy international school
01.2025
Skills
Programming & Data Handling
- Python programming
- SQL querying & database management
- Data analysis & analytics
- Data pipelines & automated workflows
Machine Learning & AI
- Machine learning models (CNNs, forecasting, anomaly detection)
- Deep learning with PyTorch / TensorFlow
- Statistical modeling & mathematical models
- Data-driven decision making
Software & Systems
- Backend development & API services
- Automation & process optimization
- Security & reliability in data systems
Projects
Yandex ML Academy — Completed 01/2024
- Led a team of 3 in a 3-month intensive ML program supervised by Yandex ML Expert Anna Ermakova.
- Built a deep learning pipeline for chest X-ray analysis, achieving 94.6% accuracy on COVID-19 vs. Pneumonia vs. Healthy classification.
- Implemented a two-stage approach:
U-Net segmentation to localize lung abnormalities.
CNN classifiers (ResNet, EfficientNet) for disease detection. - Optimized generalization through advanced hyperparameter tuning, activation/loss function experiments, and data augmentation.
- Coordinated with Kazakhstan hospitals to expand dataset with ethically sourced patient X-rays.
CS50 (Harvard University) — Completed 08/2024
- Online course covering computer science fundamentals and the art of programming.
Languages
- English
- German
- Russian
- Turkish
- Kazakh
Timeline
Data Scientist
The Global Career Accelerator
08.2025 - Current
Back End Developer
ALMATY SEMA HOSPITAL, TOO
01.2025 - Current
Full-stack Developer
nFactorial Incubator
06.2023 - 08.2023
Bachelor's degree - Data Science
University of Michigan
High School Diploma -
galaxy international school