Jose Carlo Nolasco
@josecarlonolasco
AI Annotation Engineer specializing in data quality, LiDAR, semantic segmentation, and end-to-end pipelines.
What I'm looking for
I am an AI Annotation Engineer with six years of hands-on experience in data annotation, quality assurance, and managing datasets for machine learning systems. I have worked extensively with LiDAR, semantic segmentation, and 2D image data, curating and labeling datasets to improve model robustness and production performance.
At my current role I contributed to building an end-to-end AI product pipeline from raw data through deployment and monitoring, and I produced weekly model performance reports highlighting accuracy, recall, and precision while identifying bottlenecks for iterative improvements.
I focus on data quality and continuous model improvement, combining careful annotation review, QA feedback, and daily data management to support reliable model training and production outcomes.
Experience
Work history, roles, and key accomplishments
AI Annotation Engineer
AMCSGroup
Jan 2022 - Present (4 years)
Built an end-to-end AI product pipeline from raw LiDAR and image data to production deployment, and delivered weekly model performance reports identifying bottlenecks and improvement opportunities.
Executed diverse annotation projects across LiDAR, semantic segmentation, and 2D image labeling and performed QA to ensure annotation accuracy and consistency, providing feedback to improve tasker quality.
Education
Degrees, certifications, and relevant coursework
AMA Computer Learning Center
Bachelor of Science, Information Technology
2016 - 2018
Grade: 1.5
Activities and societies: CodeAcademy
Completed a Bachelor of Science in Information Technology focusing on practical IT and computing topics to support technical roles in software and data projects.
University of Cebu - Lapu-Lapu & Mandaue
Associate in Computer Technology, Computer Technology
2013 - 2014
Completed an Associate in Computer Technology covering foundational computing and technical skills relevant to IT and annotation workflows.
Availability
Location
Authorized to work in
Salary expectations
Social media
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