Priya Ezhumalai
@priyaezhumalai
I am an experienced data annotation specialist specializing in LiDAR and 2D/3D mapping.
What I'm looking for
I am a detail-oriented data annotation specialist with 3+ years' experience in LiDAR processing, 3D top-view mapping, and 2D/3D annotation for autonomous driving and geospatial AI projects.
I specialize in semantic segmentation, object tracking, and scene labeling, and I use tools such as Deepmaps and Humanloop2 to deliver precise annotations that support high-performance computer vision models. I consistently achieved >98% accuracy in quality audits.
I lead QA processes, conduct route map and scene-level labeling across global datasets, and mentor new hires to ensure annotation consistency and productivity. I maintain strong attention to detail and adhere strictly to project guidelines.
I am flexible with remote or hybrid roles and dedicated to maintaining data integrity, improving ML pipelines, and delivering scalable, high-quality annotation solutions for autonomous vehicle and geospatial AI initiatives.
Experience
Work history, roles, and key accomplishments
Data Annotator
NVIDIA
Oct 2021 - Present (3 years 10 months)
Annotated 2D/3D images, video and LiDAR point clouds for autonomous vehicle projects, achieving >98% QA accuracy and maintaining semantic segmentation consistency. Led QA processes and trained new hires to ensure annotation consistency across client datasets in the US, Europe, Japan, and China.
Education
Degrees, certifications, and relevant coursework
Bharathidasan Govt. College for Women, Puducherry
Bachelor of Commerce, Commerce
Grade: 79.4%
Completed Bachelor of Commerce (B.Com) with a final grade of 79.4%.
Thiruvalluvar Govt. Girls Higher Secondary School
Higher Secondary Certificate (HSC), Higher Secondary
Grade: 94.08%
Completed Higher Secondary Certificate (HSC) with a final grade of 94.08%.
St. Joseph’s Govt. Aided High School
Secondary School Leaving Certificate (SSLC), Secondary Education
Grade: 97.8%
Completed Secondary School Leaving Certificate (SSLC) with a final grade of 97.8%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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