Alexander Kapturov

Machine Learning Engineer

Kaggle Discussions Grandmaster, Competitions Expert, 2x Master (Notebooks, Datasets)

My curriculum vitae (CV)

Machine Learning Engineer (ML Developer) at InDev Solutions

(April 2026 - now)

Machine Learning Engineer (Mathematician-developer) at Mallenom Systems

(May 2025 - April 2026)

Machine Learning Engineer (Junior Researcher) at United Institute of Informatics Problems

(August 2023 - May 2025)

• Every day I spend my time here:
• My favorite programming language is (4.5 years experience, 2.5 of them are commercial)
• I also little know these programming languages:
• Machine Learning frameworks that I use almost everyday:
• Other frameworks that I used
• I worked with these databeses:
• Also I familiar with these tools:

🧑‍🔬 Master of Applied Mathematics and Computer Science (2023-2025) with strong knowledge in Machine Learning

• Deep Learning (Keras, PyTorch, TensorFlow)
• Computer Vision (OpenCV, YOLOv8)
• Basics of C, C++ and JavaScript
• English B1

👨‍🎓 Bachelor of Economics (2019-2023) with strong knowledge in Mathematics and Statistics

• Lineal Algebra, Calculus, Theory of Probability, Mathematical Statistics and other
• Python Core (4 kyu at Code Wars, top 11%)
• Machine Learning (Numpy, Pandas, Matplotlib, Scipy, Seaborn, Scikit-learn)
• English B1

📚 Every day I learn something new.

My Python projects:

• https://github.com/Ultraluxe25/B1-100_000-lines-100-files-random
• https://github.com/Ultraluxe25/Innowise-Data-Engineering-Traineeship/tree/master/Task%203%20-%20Python%20Core
• https://github.com/Ultraluxe25/Project_1_Hand_gestures_recognition/tree/master/Flask%20web%20application

📗 I have read some books from IT sphere:

1. John Sonmez - "Soft skills: The software developer's life manual"
2. Chad Fowler - "Passionate programmer"
3. Robert C. Martin - "The Clean Coder: A code of conduct for professional Programmers"
4. Robert C. Martin - "Clean Agile. Back to Basics"
5. Wladston Ferreira Filho - "Computer Science Distilled"
6. Jeff Sutherland - "Scrum: The Art of Doing Twice the Work in Half the Time" (04.07.2024)
7. Andriy Burkov - "The Hundred-Page Machine Learning Book" (Spring 2025)
8. Emily Robinson, Jacqueline Nolis - "Build a career in Data Science" (January 2026)