Arsen Lukman

ML Engineer

Agency for Financial Monitoring of the Republic of Kazakhstan

Kazakhstan's government agency responsible for financial monitoring and combating financial crimes.

Developed and evaluated classification and anomaly-detection models for suspicious financial transactions, including feature engineering and financial data preprocessing.

• Developed machine learning models to detect suspicious financial transactions using supervised classification and anomaly-detection techniques on real-world transaction data. • Engineered features and preprocessed large-scale financial datasets to improve model input quality for downstream anomaly-detection tasks. • Evaluated model performance using standard classification metrics to select and refine detection approaches.

AI Development Engineer

TOO "SOMNIUM"

Integrated AI-bot tools into an HR information system and supported its Python/Django/PostgreSQL backend, database operations, and testing.

• Developed and integrated AI-bot tools into an HR information system to automate employee data processing and HR workflows. • Configured and maintained the backend development environment using Python, Django, PostgreSQL, and Poetry. • Analyzed backend architecture, database schema, and internal API logic to support AI-assistant integration. • Managed database deployment, migrations, and dump-file restoration; tested and debugged backend functionality to improve reliability.

BSc, Information Technology (Big Data Analysis)

Astana IT University

Academic Mobility Program, Computer Science

Beijing Institute of Technology