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Aknur Karabay

General Info

Professional Track

  • Science

Country

Kazakhstan

Areas of Expertise

  1. Artificial Intelligence/Machine Learning
  2. Data Mining and Analytics
  3. Engineering, Civil

Professional Interests

  1. Computer vision applications
  2. Reinforcement learning
  3. Application of AI in automation and optimization of the BIM, structural design

Age

26

The Top Three Things I Would Like to Learn or Experience During my Mentorship

  1. Learn about the ways AI tools/models are developed and used (ML engineer's work). How the spots are identified and approaches with the main challenges.
  2. Data analysis and approaches. Everything from ETL to insights and further usage of machine learning.
  3. Public speaking and being able to lead a team.

Mentorship Characteristic

  • Attend company-wide meetings and/or team meetings
  • Visit an office or attend a site-visit
  • Focus on technical skills building

Ideal Company Type

My ideal company is a large company (e.g. with thousands of workers) that produces products used globally and focused on Artificial Intelligence (e.g. computer vision or tabular data). The company that helps its workers to express their individuality, decision making, and creativity, gives an opportunity to propose their new vision, proposals, and solutions. I enjoy working with other people around. I feel that by working in close proximity, we can inspire each other, collaborate better, and communicate effectively to optimize performance. I love working in teams but I am also very productive working individually on my own parts and responsibilities.

Programming Languages

  • Python

Additional Technical Skills

Since I do not have a professional degree in computer science or other related to my current occupation, I have been studying on my own followings: 1. Algorithms and data structures. 2. Machine Learning 3. Deep learning 3. Pytorch 4. Introduction to reinforcement learning

What are three adjectives that best describe you in the work place?

  1. Responsible
  2. Open-minded
  3. Diligent

What impact will your mentorship have on your career and professional path?

I believe that getting experience from world tech leaders will dramatically expand my vision and potential, which will help me to solidify my further career choices. I would like further to deepen in the area of AI and research and development and bring my contribution to its development in Kazakhstan, therefore, certainly this program would be one of the key points in my career.

After participating in the TechWomen program, how will you leverage your mentorship experience to make an impact in your home country?

After the program, I am planning to organize a number of experience-sharing events. Also, since I am working with students I will further spread the knowledge I gain at my current workplace and in the mentorships programs, I am involved in. I am also planning to organize a free program that will help females with diverse backgrounds to enter IT and AI areas, which was quite a challenge for me. I believe that the skill I will gain and things I will learn from my mentor will be very beneficial in delivering my knowledge more efficiently.

Work History

Years of Full-time Work Experience

3.3

Primary Professional Focus

  • Scientist and researcher

Current/Most Recent Job

  • Title and Company: Data Scientist, Institute of Smart Systems and Artificial Intelligence at Nazarbayev University
  • Direct Reports:
  • Type: Full-time
  • Location: Nur-Sultan, Kazakhstan
  • Dates: October 1, 2019 –
  • Responsibilities:

    Conducting research on AI-related topics; Data pre-processing; Data analysis; Running and fine-tuning different deep learning (DL) models; Writing scientific articles; Presenting material; Conducting literature review; Running experiments with models for computer vision projects (CV).

Job #2

  • Title and Company: Quantity Surveyor, BI Group
  • Type: Full-time
  • Location: Nur-Sultan, Kazakhstan
  • Dates: April 1, 2018 – October 1, 2018
  • Responsibilities:

    Ground works estimation; Engineering networks estimation; Preparation of bidding documents.

Education History


Institution #1

  • Institution: University of Glasgow
  • Degree Awarded: Master's
  • Major: Structural Engineering
  • Minor:
  • Location: United Kingdom
  • Completion Date: September 1, 2019

Institution #2

  • Institution: Nazarbayev University
  • Degree Awarded: Bachelor's
  • Major: Civil Engineering
  • Minor:
  • Location: Kazakhstan
  • Completion Date: May 1, 2018

Participants

  • Eligibility and Application
  • The Experience
  • Award Details
  • 2022 Emerging Leader Profiles

Mentors

  • Why Mentor With TechWomen?
  • Professional Mentor Overview
  • Cultural Mentor Overview
  • Impact Coach Overview
  • TechWomen Mentor Application

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