John Amolo is a Data Specialist with a decade of hands-on experience building and curating high-quality datasets for computer vision and LLMs, currently driving annotation and data quality at CloudFactory in Nairobi. He has deep practical expertise across image, video, LiDAR and multimodal labeling workflows, having trained video models and contributed to 3D and segmentation projects at companies like Remotasks and Sama. Known for optimizing annotation pipelines and maintaining strict data integrity, he bridges technical problem-solving with cross-functional collaboration to improve model performance. Outside core tasks, John pairs a coder’s mindset (assert(code == life)) with practical tooling familiarity in Python and JavaScript, enabling him to translate annotation needs into reproducible data engineering practices.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - Computer Science Computer Programming/Programmer General, Bachelor of Technology - Computer Science Computer Programming/Programmer General at Kenyatta University
An implementation of a LDAP client, focusing on authentication workflows relevant to ODK-X Sync to support standard on-boarding requirements in its application suite.
Contributions:6 reviews, 147 commits, 125 PRs in 2 months
This repository contains the code for the Kabarak MHIS (Mama's Hub) web application and its APIs.
Contributions:7 reviews, 475 PRs, 298 pushes in 1 year 2 months
apij2eeweb-applicationnodejswebapp
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