Career

My professional journey spans AI/ML research, education, and industry leadership roles.

Professional Experience

Head of AI/ML

INUI GAMINGOctober 2023 - October 2024

Dubai, UAE

Led AI/ML initiatives for a gaming platform that prevents cheating in multiplayer games, with a total raise of $17.8 million.

Key Responsibilities:

  • Established company's ML/AI function, leading a team on innovative projects for the gaming industry
  • Developed anticheat systems for Counter Strike 2 and CS:GO using computer vision and deep learning
  • Created recommendation systems for content suggestions and gaming marketplace
  • Designed match-making and ranking systems for team play modes in Counter Strike
  • Scaled the team from 2 to 5 senior ML engineers, overseeing hiring and onboarding
  • Managed cross-team communication and stakeholder collaboration

Skills:

Machine Learning
Deep Learning
Computer Vision
Team Leadership
Recommendation Systems

Senior Lecturer

Kazakh-British Technical UniversityJanuary 2023 - June 2023

Almaty, Kazakhstan

Designed and taught Electronics & Digital Design course for second-year undergraduate students.

Key Responsibilities:

  • Developed comprehensive curriculum for Electronics & Digital Design
  • Delivered lectures and practical sessions to undergraduate students
  • Designed assessments and evaluated student performance
  • Provided academic guidance and support to students

Skills:

Teaching
Curriculum Development
Electronics
Digital Design

Teaching Assistant

University of ManchesterFebruary 2022 - December 2022

Manchester, UK

Taught various courses to undergraduate students across different years.

Key Responsibilities:

  • Taught Calculus to first-year students
  • Delivered Introduction to Python course to second-year students
  • Taught Statistical Inference to third-year students
  • Provided support during practical sessions and office hours
  • Assisted with grading and providing feedback on assignments

Skills:

Teaching
Calculus
Python
Statistical Inference

Research Assistant

Nazarbayev UniversityOctober 2019 - December 2021

Astana, Kazakhstan

Designed machine learning algorithms for brain-computer interface systems, specifically the EEG-based P300 Speller.

Key Responsibilities:

  • Developed novel machine learning algorithms for EEG signal processing
  • Conducted research on P300 Speller technology
  • Published 5 academic papers in international conferences and journals
  • Collaborated with interdisciplinary research teams
  • Presented research findings at academic conferences

Skills:

Machine Learning
EEG Signal Processing
Research
Academic Writing
P300 Speller

Community Leadership

Founder

IT Jobs KZ

Founded and managed a job board dedicated to IT specialists in Kazakhstan, connecting talented professionals with employers in the tech industry.

Community Building
IT Recruitment
Career Development

Co-founder

DSML KZ

Co-founded and grew a community of data scientists in Kazakhstan to over 7,000 members, organizing events, workshops, and knowledge-sharing initiatives.

Data Science
Machine Learning
Community Management
Event Organization