Promoted to Head of Engineering after successfully establishing the company's ML function.

Current responsibilities:

• Leading and tracking progress across multiple teams, including backend, frontend, mobile, UX/UI, DevOps, and machine learning

• Collaborating with ML team to design and implement core machine learning technologies for real-time video analysis

• Overseeing technical architecture and ensuring alignment with business objectives

Previous role as Head of AI/ML:

• Led a team of 3 senior ML engineers

• Developed and designed project's ML architecture

• Implemented deep learning models for action detection, face detection and recognition

Established company's ML/AI function, leading a team on innovative projects for the gaming industry:

• Anticheat system for Counter Strike 2 and CS:GO (computer vision based solutions for WallHack cheats and sophisticated deep learning and mathematical algorithms for AimBot, Spinbot type of cheats)

• Recommendation systems for content suggestions and gaming marketplace

• Match-making and ranking system for normal and custom modes of team playing in Counter Strike

Scaled the team from 2 to 5 senior ML engineers, overseeing the entire hiring process

Managed cross-team communication and stakeholder collaboration to ensure alignment, optimizing project delivery

Gaming platform that prevents cheating in multiplayer games, total raise of $17.8 million

Designed and taught Electronics & Digital Design course for second year undergraduate students of Faculty of Information Technologies

Taught Calculus (1st year students), Introduction to Python (2nd year students), Statistical Inference (3rd year students)

Relevant coursework: Advanced Continuous Optimization · Parallel and Distributed ML · Advanced Topics in Causality & ML

Member of BioMedIA and Causality research groups

Developed mathematical approaches to infer kinetics as a system of ODEs from catalytic reactions time-series data under the supervision of Prof. Stefan Güttel and Prof. Igor Larrosa

Numerical linear algebra group member

Engineering and Physical Sciences Research Council (EPSRC) scholarship holder (full coverage of tuition fees and £17.667 of yearly stipend)

Poster session at NJH60: Advances in Numerical Linear Algebra, celebrating the 60th Birthday of Nick Higham

Member of the Numerical Linear Algebra (NLA) Group at the University of Manchester

CGPA: 3.30 (out of 4.00)

Activities and societies: Member of "Stand Up! Night" stand up comedy club

Worked as a Research Assistant (RA) at Advanced Signal Processing Laboratory under the supervision of Prof. Muhammad Tahir Akhtar and Prof. Prashant Kumar Jamwal.

The research output was presented and published at four conferences across the globe (APSIPA ASC 2020, EMBC 2021, APSIPA ASC 2021, DSP 2023) and in Applied Sciences journal

Thesis: "Meta-Classification of Brain Signals in P300 Speller". Implementation of EEG features classification using deep learning models

Featured in Nazarbayev University's Hall of Fame

Performing at Stand Up! Night concert with an audience of 600 people

CGPA: 3.68 (out of 4.00)

Activities and societies: President of FunLife student stand up comedy club

Coursework: Modeling and Identification of Control Object, Theory of Control, Sensors and Actuators, Microcontrollers, Microprocessors, Electronics, Algorithms and Data Structures, Object Oriented Programming, Low Level Programming, Computer Networks

Achievements: • Google I/O 2019 participant (Code Jam to I/O for Women top competitor) • KBTU Success 2019 award holder • Winner of Hackathon 4.0: Data for future (by Unicef and Microsoft) • Winner of "Digitalization of the ecosystem of health and social protection. Blockchain" hackathon by Unicef

Receiving the KBTU Success 2019 award and trophy

Winner team at Hackathon 4.0: Data for Future, organized by UNICEF and Microsoft

Winner team at the Digitalization of Ecosystem hackathon by UNICEF