Magzhan Karandashov

Artificial Intelligence Engineer – Intern

LLP QazCloud

Built Python LLM and agent applications, RAG pipelines, and FastAPI services during a two month AI engineering internship.

• Developed AI-powered applications in Python using LLM APIs and intelligent-agent architectures to solve practical problems. • Built and integrated retrieval-augmented generation (RAG) pipelines with embedding models, semantic search, and vector databases. • Developed backend services and REST APIs for AI applications using FastAPI.

Research Assistant – Intern

Nazarbayev University

Nazarbayev University is a research university in Astana, Kazakhstan, founded in 2010, with English-language instruction and international academic partnerships.

Trained and evaluated Transformer models for arterial blood pressure prediction from physiological time series, using statistical comparisons and hyperparameter tuning.

• Developed and evaluated a Transformer-based deep learning model for continuous arterial blood pressure prediction from physiological time-series signals. • Designed and trained deep-learning experiments for sequential physiological data, applying statistical analysis to compare model behavior. • Conducted hyperparameter tuning and model optimization to improve prediction accuracy across different training configurations. • Evaluated model performance across different model configurations and training settings using statistical metrics and Matplotlib visualizations.

Bachelor of Science, Computer Science

Nazarbayev University