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ZD

Zhan Dzholdybayev

@Zhan

ML/AI engineer

ML/AI engineer, Astana IT University, Computer Science, CV, NLP, RAG, LLM, Python, FastAPI, Docker, YOLO, DB, vector DB, classic ML

Career

Experience: 1 years

Experience

AI Engineer

NBCgate

Sep 2025 — Aug 2026

Built a RAG system and AI agents for document retrieval and business automation; the resume gives no quantitative results.

• Developed and deployed AI agents capable of dynamic context management, automated information extraction, and multi-source knowledge synthesis. • Integrated LLM-based reasoning and retrieval pipelines to enhance the accuracy and responsiveness of business automation tools. • Optimized prompt structures and memory handling for improved agent efficiency and reliability.

Machine Learning (ML) Engineer

SpaceVela

Jan 2025 — Sep 2025

Developed computer vision models and prepared annotated image data to detect 3D printing equipment and production failures.

• Developed and fine-tuned ML models using PyTorch, OpenCV, YOLOv8, Albumentations, scikit-learn, Pandas, and NumPy for real-time detection of 3D printing equipment and production failures. • Collected, curated, and annotated image datasets with Roboflow to train and evaluate model performance.

Participant

EY Campus 2023

Attended a summer career camp covering consulting, finance, corporate industry, and career development.

• Vocational guidance summer camp for students, where we have studied the basics of consulting, finance, corporate industry, and skills necessary for career development.

Participant

Deloitte Bootcamp 2023

Participated in a career bootcamp and worked on audit cases.

• Career bootcamp and solution of audit cases.

Education

Bachelor of Science (B.Sc.), Computer Science

Astana IT University (AITU)

2022 — 2025

Master of Science (M.Sc.), Computer Science and Data Analytics

Kazakh British Technical University (KBTU)

2026

Selected projects

Development of license plate recognition (LPR) system (Bachelor Thesis)

Developed a modular license plate recognition system and created a custom dataset of Kazakhstani plates with symbol and template labeling. Built REST APIs with FastAPI and used Pydantic for data validation and schema management.

AI Video Topic Segmentation & In-Video Quiz System

Built an end-to-end pipeline that transforms YouTube videos into interactive lessons, with semantic video segmentation, quiz generation, and a Chrome extension for video controls and in-player quizzes.

Smart City transportation model

Developed an AI-powered machine learning model to predict arrival times, demand rates, and workload rates, and coordinate transportation systems in urban areas.

Achievements

1st place on the track “Smart City”

Datathon Google Developer SC (GDSC) by AITU, GDSC, binY · 2024

Skills

MLAIpython