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DSML.KZ
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Sultanbi Ibrayev

@SulticConnected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.

Junior ML Engineer / Data Scientist

I’m an AI/ML Engineer with experience in Python, machine learning, NLP, and computer vision.

Open to

Learning with othersFinding a mentorJoining pet projectsHelping with community projects

About

I’ve worked with Transformers, PyTorch, OpenCV, YOLO, SQL, and REST APIs, and I’m currently focused on LLMs, RAG, and AI agents. I’m interested in building practical AI solutions and developing my skills in production ML systems.

Career

Experience: 2 years

Experience

Junior Developer

MyBPM

Mar 2026 — Jul 2026

Built Python scripts and maintained ETL pipelines, supporting data preparation, backend integrations, and system issue diagnosis.

• Developed Python scripts and automated business processes on the MyBPM platform. • Developed and maintained ETL pipelines; performed automated and manual data extraction from databases. • Cleaned, transformed, and prepared data; worked with backend logic and integrations. • Analyzed server-side data and participated in diagnosing system issues.

BI Analyst

Geometry

Sep 2025 — Nov 2025

Created Power BI dashboards and prepared sales data to analyze automotive sales and financial indicators.

• Created interactive Power BI dashboards with DAX for analyzing sales and financial indicators. • Visualized car sales by brands, models, price segments, and dynamics. • Prepared and structured Excel data for loading and analysis in Power BI.

Data Analyst Intern

Maxinum Consulting Group

Nov 2024 — Jun 2025

Queried and processed business data, automated recurring reports, and prepared analytical reports.

• Wrote SQL queries to extract and analyze business data from PostgreSQL. • Processed data using Python/pandas, automated regular reporting, and identified anomalies. • Worked with Excel and large datasets to prepare analytical reports.

Education

Bachelor’s Degree, Big Data Analysis

Astana IT University

2022 — 2025

Secondary Education, Physics and Mathematics

Nazarbayev Intellectual School

2010 — 2022

Selected projects

Emotion Recognition System

Developed a real-time system to classify seven emotions, fine-tuned MobileNetV2 on FER-2013, and implemented REST API inference and video stream processing.

UNT QA System

Fine-tuned Kazakh T5 on more than 2,000 Kazakh QA pairs and implemented preprocessing, tokenization, beam search decoding, and top-k sampling for answer generation.

ML Models for Tabular Data

Solved classification and regression tasks using data cleaning, feature engineering, model training, hyperparameter tuning, and evaluation.

Skills

PythonOOPData StructuresAlgorithmsscikit-learnCatBoostXGBoostGradient BoostingClassificationRegressionPyTorchTensorFlowHugging Face TransformersTransfer LearningFine-tuningEmbeddingsText GenerationpandasNumPySQL