Alfonce Kiprotich

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Object Detection

Action Recognition

Freelancer Overview

I am a computer engineering technician with over two years of hands-on experience in software development, technical project management, and customer support. My background includes collaborating on cross-functional teams to develop web and mobile applications, automate workflows, and optimize project structures for efficiency and accuracy. I have worked extensively with modern programming frameworks such as Flutter, Python, and JavaScript, and have contributed to projects involving UI/UX design, API development for summarization and personalization, and voice-first interaction prototypes. My attention to detail, strong multitasking abilities, and commitment to quality have been demonstrated through streamlining testing pipelines and leading integration testing efforts, which are directly applicable to data labeling, annotation, and AI training data tasks. I am adept at maintaining high standards of accuracy, mentoring team members in best practices, and ensuring data integrity and consistency in fast-paced, collaborative environments.

Labeling Experience

Data Annotation

CVATImageObject DetectionAction Recognition

Responsible for preparing high‑quality datasets for machine learning projects by annotating video and image data using CVAT (Computer Vision Annotation Tool). Tasks included labeling human subjects with bounding boxes, applying standardized tags, and ensuring accuracy and consistency across frames. Contributed to projects in object detection, pedestrian tracking, crowd analysis, and surveillance systems by delivering clean, structured training data. Maintained strict adherence to project guidelines, demonstrated attention to detail, and supported the development of robust AI models through reliable annotation practices.

Responsible for preparing high‑quality datasets for machine learning projects by annotating video and image data using CVAT (Computer Vision Annotation Tool). Tasks included labeling human subjects with bounding boxes, applying standardized tags, and ensuring accuracy and consistency across frames. Contributed to projects in object detection, pedestrian tracking, crowd analysis, and surveillance systems by delivering clean, structured training data. Maintained strict adherence to project guidelines, demonstrated attention to detail, and supported the development of robust AI models through reliable annotation practices.

2024 - 2024

Education

Work History