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Data annotator, lead
- City:
- Kyiv
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PERSONAL DETAILS
Ukraine Kyiv
[open contact info ](look above in the "contact info" section),
[open contact info ](look above in the "contact info" section) Date of birth: May 20, 2002
LinkedIn: [open contact info ](look above in the "contact info" section)
PROFILE
I have practical experience working in an IT department on a project focused on training neural
networks for computer vision tasks. I worked as a full-cycle data annotator: from dataset
preparation and technical documentation to reviewing colleagues' annotations and mentoring
new team members. I have a solid understanding of workflow organization, experience working in
a team using Agile methodologies, and closely collaborated with ML engineers and QA
specialists.
Currently, I am highly motivated to expand my knowledge in programming, aiming to deepen my
understanding of Java and related technologies, and to gain hands-on experience in software
development. I am looking to start my career as a Java developer in a team where I can grow as
an engineer, enhance my technical skills, and contribute to real-world projects.
EDUCATION
Master’s degree in Computer Science Sep 2024 - Dec 2025
Kyiv National University of Trade and Economics (KNTU), Kyiv
Specialization: Information Systems and Management Technologies. Focus on software development, IT
project management, and information systems.
Bachelor’s degree in Computer Science Sep 2020 - Jun 2024
National Transport University (NTU), Kyiv
Key courses: Object-Oriented Programming (Java), Data Structures and Algorithms, Databases,
Software Development.
EMPLOYMENT
Data Annotator Feb 2024 - Apr 2025
Training a Computer Vision Neural Network to Detect and Classify Military Objects in Drones
● Utilized Jira, actively participated in team work following Scrum and Kanban methodologies
(daily meetings, sprint planning, retrospectives)
● Collaborated closely with ML engineers and QA specialists to improve annotation accuracy
and workflow efficiency.
● Managed deadlines, time management, and ensured the accuracy and quality of
processes. Created technical documentation and guidelines for the team.
● Conducted peer reviews and trained new employees.
● Full-cycle data annotation: from data collection and processing to structuring datasets and
quality control of material annotation.
Data Annotator Jun 2025 – Present
Military Technology Project
● Became the first data annotator in the team and helped establish annotation workflows from
the ground up.
● Organized and optimized processes for labeling various types of data, including image and
video annotation (RGB / infrared).
● Performed object detection, classification, segmentation mask creation for images and terrain,
and anomaly tracking on graphs using internal software.
● Conducted data filtering, validation, and quality control to ensure high dataset accuracy.
● Prepared, transformed, and standardized files according to project requirements and technical
specifications.
● Automated repetitive data processing and annotation tasks to improve efficiency.
● Collected, structured, and maintained datasets for computer vision model training.
● Reviewed annotations and supervised the work of other annotators, providing guidance and
support.
● Collaborated closely with Computer Vision and Machine Learning engineers to align datasets
with model needs.
● Deployed and maintained infrastructure for annotation workflows, including CVAT server setup
for image/video labeling.
● Worked with raw materials received from pilot teams and CV engineers: extracted relevant
data, processed inputs, and delivered final analytical reports.
● Participated in measuring and tracking physical indicators using internal tracking systems.
SKILLS
CVAT Tracker
Jira Scrum
IntelliJ IDEA GitHub
Teamwork Kanban Git
Java (OOP, Collections, methods, file handling)
LANGUAGES
Ukrainian - native
English - A2/B1
Russian - native
HOBBIES
Traveling
Playing musical instruments
Hiking
This resume is made with CVwizard.com.
Ukraine Kyiv
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LinkedIn: [
PROFILE
I have practical experience working in an IT department on a project focused on training neural
networks for computer vision tasks. I worked as a full-cycle data annotator: from dataset
preparation and technical documentation to reviewing colleagues' annotations and mentoring
new team members. I have a solid understanding of workflow organization, experience working in
a team using Agile methodologies, and closely collaborated with ML engineers and QA
specialists.
Currently, I am highly motivated to expand my knowledge in programming, aiming to deepen my
understanding of Java and related technologies, and to gain hands-on experience in software
development. I am looking to start my career as a Java developer in a team where I can grow as
an engineer, enhance my technical skills, and contribute to real-world projects.
EDUCATION
Master’s degree in Computer Science Sep 2024 - Dec 2025
Kyiv National University of Trade and Economics (KNTU), Kyiv
Specialization: Information Systems and Management Technologies. Focus on software development, IT
project management, and information systems.
Bachelor’s degree in Computer Science Sep 2020 - Jun 2024
National Transport University (NTU), Kyiv
Key courses: Object-Oriented Programming (Java), Data Structures and Algorithms, Databases,
Software Development.
EMPLOYMENT
Data Annotator Feb 2024 - Apr 2025
Training a Computer Vision Neural Network to Detect and Classify Military Objects in Drones
● Utilized Jira, actively participated in team work following Scrum and Kanban methodologies
(daily meetings, sprint planning, retrospectives)
● Collaborated closely with ML engineers and QA specialists to improve annotation accuracy
and workflow efficiency.
● Managed deadlines, time management, and ensured the accuracy and quality of
processes. Created technical documentation and guidelines for the team.
● Conducted peer reviews and trained new employees.
● Full-cycle data annotation: from data collection and processing to structuring datasets and
quality control of material annotation.
Data Annotator Jun 2025 – Present
Military Technology Project
● Became the first data annotator in the team and helped establish annotation workflows from
the ground up.
● Organized and optimized processes for labeling various types of data, including image and
video annotation (RGB / infrared).
● Performed object detection, classification, segmentation mask creation for images and terrain,
and anomaly tracking on graphs using internal software.
● Conducted data filtering, validation, and quality control to ensure high dataset accuracy.
● Prepared, transformed, and standardized files according to project requirements and technical
specifications.
● Automated repetitive data processing and annotation tasks to improve efficiency.
● Collected, structured, and maintained datasets for computer vision model training.
● Reviewed annotations and supervised the work of other annotators, providing guidance and
support.
● Collaborated closely with Computer Vision and Machine Learning engineers to align datasets
with model needs.
● Deployed and maintained infrastructure for annotation workflows, including CVAT server setup
for image/video labeling.
● Worked with raw materials received from pilot teams and CV engineers: extracted relevant
data, processed inputs, and delivered final analytical reports.
● Participated in measuring and tracking physical indicators using internal tracking systems.
SKILLS
CVAT Tracker
Jira Scrum
IntelliJ IDEA GitHub
Teamwork Kanban Git
Java (OOP, Collections, methods, file handling)
LANGUAGES
Ukrainian - native
English - A2/B1
Russian - native
HOBBIES
Traveling
Playing musical instruments
Hiking
This resume is made with CVwizard.com.
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