Key Skills

Software

AWS SageMaker

CrowdSource

Labelbox

Scale AI

SuperAnnotate

Top Subject Matter

Large-scale action recognition

Dimentional Emotion recognition

Novelty image classification

Top Data Types

Image

Medical Dicom

Video

Top Task Types

Action Recognition

Classification

Computer Programming Coding

Data Collection

Emotion Recognition

Freelancer Overview

With a strong foundation in computer science and extensive expertise in artificial intelligence, I have a comprehensive understanding of data labeling and AI training data pipelines (AI PhD and Master in University of Oulu, Finland). My experience spans multiple projects where I led the development of high-quality datasets for machine learning models, ensuring accuracy and efficiency through a combination of human-in-the-loop processes and advanced automation tools. I specialize in designing scalable data annotation workflows and integrating cutting-edge tools like CVAT, Labelbox, and AWS SageMaker Ground Truth to optimize labeling for complex tasks such as object detection, segmentation, and natural language processing. My key strengths lie in balancing precision with speed, leveraging AI-assisted labeling techniques, and driving collaboration across cross-functional teams to ensure data quality at scale.

Labeling Experience

Annotating Micro-gestures and Micro-expressions

Scale AIVideoBounding BoxPoint Key Point

Labeling microgestures of human behaviours, the results are published on CVPR conference 2021 and IJCV 2023

Labeling microgestures of human behaviours, the results are published on CVPR conference 2021 and IJCV 2023

2019 - 2019

Education

Work History