Faisal Islam

Key Skills

Software

CVAT

Other

Top Subject Matter

Computer Vision

Healthcare/dental Domain Expertise

Human Activity Recognition

Top Data Types

Image

Video

Top Task Types

Polygon

Action Recognition

Object Detection

Freelancer Overview

Data Annotator (Part-time) | Quantigo AI. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Other. Education includes Bachelor of Science, National University (2023). AI-training focus includes data types such as Image and Video and labeling workflows including Polygon, Action Recognition, and Object Detection.

Labeling Experience

ML Researcher | Independent research

OtherImageObject Detection

Conducted independent ML research with extensive hands-on experience in image and video data labeling, object detection, and dataset creation. Supported computer vision model development by preparing high-quality training data and annotations. Improved model accuracy through expert annotation techniques and thorough evaluation of AI outputs. • Applied semantic segmentation and tracking methods. • Produced datasets for vision-based ML tasks. • Enhanced model performance via curated annotation sets. • Used CVAT, Labelbox, and standard open-source tools for research annotations.

Conducted independent ML research with extensive hands-on experience in image and video data labeling, object detection, and dataset creation. Supported computer vision model development by preparing high-quality training data and annotations. Improved model accuracy through expert annotation techniques and thorough evaluation of AI outputs. • Applied semantic segmentation and tracking methods. • Produced datasets for vision-based ML tasks. • Enhanced model performance via curated annotation sets. • Used CVAT, Labelbox, and standard open-source tools for research annotations.

2024 - Present

Data Annotator (Part-time) | Linewise

OtherVideoAction Recognition

Responsible for frame-by-frame video annotation emphasizing hand movements and action recognition for Linewise. Generated reliable ground truth data for machine learning model training and evaluation. Handled complex, high-volume annotation tasks with strong attention to detail and accuracy. • Supported development of action recognition algorithms. • Contributed to large-scale video dataset curation. • Maintained high annotation standards despite tight deadlines. • Worked remotely using common video annotation tools.

Responsible for frame-by-frame video annotation emphasizing hand movements and action recognition for Linewise. Generated reliable ground truth data for machine learning model training and evaluation. Handled complex, high-volume annotation tasks with strong attention to detail and accuracy. • Supported development of action recognition algorithms. • Contributed to large-scale video dataset curation. • Maintained high annotation standards despite tight deadlines. • Worked remotely using common video annotation tools.

2024 - Present

Data Annotator (Part-time) | Quantigo AI

CVATImagePolygon

Worked as a data annotator for Quantigo AI, focusing on high-quality polygon annotation for computer vision datasets. Utilized advanced labeling techniques such as semantic segmentation and keypoint annotation to support over 100 ML projects. Maintained accuracy and consistently delivered precise bounding box annotations for human/object tracking tasks across diverse domains. • Specialized in medical image annotation for dental AI applications. • Adhered strictly to complex quality guidelines and standards. • Collaborated with remote ML teams to optimize the annotation workflow. • Used CVAT and Labelbox for large-scale project delivery.

Worked as a data annotator for Quantigo AI, focusing on high-quality polygon annotation for computer vision datasets. Utilized advanced labeling techniques such as semantic segmentation and keypoint annotation to support over 100 ML projects. Maintained accuracy and consistently delivered precise bounding box annotations for human/object tracking tasks across diverse domains. • Specialized in medical image annotation for dental AI applications. • Adhered strictly to complex quality guidelines and standards. • Collaborated with remote ML teams to optimize the annotation workflow. • Used CVAT and Labelbox for large-scale project delivery.

2019 - 2024

Education

Work History