Mikhail Nikolaenko

Key Skills

Software

SuperAnnotate

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Image

Computer Code Programming

Top Label Types

Bounding Box

Polygon

Point Key Point

Segmentation

Object Detection

Computer Programming Coding

Data Collection

Freelancer Overview

I am a computer science student with hands-on experience in AI-driven research and industry projects, particularly in data annotation, simulation-based synthetic data generation, and intelligent visualization. My work includes developing automated pipelines for domain randomization and creating annotated datasets for training vision models, utilizing tools like Unreal Engine 5, C++, and Python. I have contributed to projects involving digital twins, robotics, and VR-based educational systems, often integrating large language models and spatial data for advanced analytics. My skills in machine learning, procedural content generation, and interdisciplinary collaboration enable me to deliver high-quality, well-documented training data for a variety of AI applications, including computer vision, robotics, and medical simulation.

Labeling Experience

Procedural Content Generation Specialist

Internal Proprietary ToolingComputer Code ProgrammingBounding BoxSegmentation

Designed and implemented procedural content generation pipelines in Unreal Engine to create synthetic factory environments for image and data generation. Developed systems to programmatically generate industrial layouts, assets, and scene variations to support computer vision and AI training workflows. Focused on scalability, visual consistency, and controlled variation while adhering to project specifications.

Designed and implemented procedural content generation pipelines in Unreal Engine to create synthetic factory environments for image and data generation. Developed systems to programmatically generate industrial layouts, assets, and scene variations to support computer vision and AI training workflows. Focused on scalability, visual consistency, and controlled variation while adhering to project specifications.

2025 - 2025

Satellite Image Labeler

SuperannotateImageBounding BoxPolygon

Performed image annotation and data labeling for satellite imagery focused on residential and commercial roofing. Responsibilities included accurately identifying and outlining roof structures, roof boundaries, and related features according to provided labeling guidelines. Ensured consistency, precision, and quality across large datasets while working independently and meeting task accuracy requirements. Maintained attention to detail in complex or partially obscured imagery and followed quality control standards throughout the labeling process.

Performed image annotation and data labeling for satellite imagery focused on residential and commercial roofing. Responsibilities included accurately identifying and outlining roof structures, roof boundaries, and related features according to provided labeling guidelines. Ensured consistency, precision, and quality across large datasets while working independently and meeting task accuracy requirements. Maintained attention to detail in complex or partially obscured imagery and followed quality control standards throughout the labeling process.

2023 - 2024

Education

Work History