Victor Makhulu
@victormakhulu
Detail-oriented Data Annotator with expertise in computer vision.
What I'm looking for
I am a detail-oriented Data Annotator with 4 years of experience specializing in labeling and annotating datasets for computer vision applications. My proficiency with annotation tools such as LabelImg, CVAT, and VGG Image Annotator has enabled me to ensure high-quality labeled datasets essential for machine learning model training. I have a strong understanding of object detection, segmentation, and classification tasks, which allows me to contribute effectively to various projects.
During my tenure at CloudFactory Kenya, I successfully annotated over 10,000 images for object detection and segmentation tasks, achieving more than 90% annotation accuracy through rigorous quality checks. My collaboration with machine learning engineers to refine annotation guidelines has been instrumental in improving model performance. Additionally, my role as a Data Labeling Specialist at Remotasks involved labeling 5,000+ traffic images and assisting in data augmentation, which significantly enhanced dataset diversity for research purposes.
Experience
Work history, roles, and key accomplishments
Data Labeling Specialist
Remotasks
Labeled over 5,000 traffic images for object detection (cars, pedestrians, signs) for self-driving car datasets. Assisted in data augmentation (cropping, flipping, noise addition) to improve dataset diversity and contributed to benchmark dataset creation used in published research.
Data Annotator
CloudFactory Kenya
Annotated over 10,000 images for object detection and segmentation tasks, performing bounding box, polygon, and keypoint annotations for datasets used in autonomous driving and facial recognition. Ensured over 90% annotation accuracy through rigorous quality checks and collaborated with ML engineers to refine annotation guidelines for model improvement.
Education
Degrees, certifications, and relevant coursework
Mount Kenya University
Diploma, Information Technology
Learned foundational knowledge in computer systems, programming, networking, web development (HTML, CSS, JavaScript), database management, cloud computing, and IT support, along with an introduction to AI, IoT, and ethical IT practices.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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