Summary
Aizhan Imankulova is a Software Engineer and Data Scientist with a Ph.D. in Natural Language Processing and a decade of experience building production ML systems and full-stack web applications. Currently at CogSmart in Tokyo, she combines deep learning expertise (PyTorch, TensorFlow) with web/backend skills (Flask, Node.js, React, PostgreSQL) to move NLP research into deployed products. Her academic work includes multilingual and low-resource machine translation published and presented internationally, and she has led applied projects at Rakuten and NICT as well as deep-learning work in finance. Fluent in Japanese (JLPT N1) and rooted in Kazakhstan, she blends rigorous research training with pragmatic engineering practices from a Tokyo software bootcamp. Colleagues know her for pairing strong statistical intuition with hands-on system-building and a curiosity about human collaboration that informs how she designs team-friendly tools and workflows.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tokyo Metropolitan University
Master of Technical Sciences, Information Systems, 3.64/4 GPA, Master of Technical Sciences, Information Systems, 3.64/4 GPA at International Information Technology University, Kazakhstan
Bachelor, Automation and Control, 3.76/4 GPA, Bachelor, Automation and Control, 3.76/4 GPA at Kazakh National Technical University named by K.I.Satpaev
Kazakh, Russian, Japanese, English