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Ramprasanth Raman

@ramprasanthraman

Senior data annotation & AI training specialist improving video dataset quality for autonomous vehicles.

India
Message

What I'm looking for

I’m seeking a fully remote role where I can contribute deep expertise in object tracking, bounding box annotation, and scene mapping to cutting-edge machine learning and autonomous vehicle AI initiatives.

I’m a Senior Data Annotation & AI Training Specialist with 2+ years of hands-on experience annotating high-volume video datasets for autonomous vehicle AI systems at NVIDIA. I focus on object tracking, bounding box creation, and scene mapping with a strong commitment to accuracy and consistency.

In my current Senior Process Executive — Data Labelling & Annotation role at Randstad India (Client: NVIDIA Graphics), I annotated and labeled 1,000+ hours of video data to train autonomous vehicle AI perception models. I maintained 98%+ accuracy while performing precise object tracking, bounding box creation, polygon segmentation, and scene mapping across diverse driving environments.

I partner closely with QA teams to identify labeling discrepancies and root-cause errors, continuously improving dataset quality. I also mentor junior annotators on best practices, annotation tools (CVAT / LabelStudio), and quality standards, and I’m seeking a fully remote role to apply my deep expertise to cutting-edge machine learning and autonomous vehicle initiatives.

Experience

Work history, roles, and key accomplishments

RI
Current

Senior Process Executive

Randstad India

Jul 2023 - Present (2 years 11 months)

Annotated and labeled 1,000+ hours of video data to train autonomous vehicle AI perception models for NVIDIA, achieving 98%+ accuracy while maintaining dataset QA benchmarks. Performed object tracking, bounding box creation, polygon segmentation, and scene mapping across diverse driving environments, and resolved labeling discrepancies with QA teams.

Education

Degrees, certifications, and relevant coursework

OE

Oxford College of Engineering

Bachelor of Engineering, Mechanical Engineering

Grade: 65%

Completed a B.E. in Mechanical Engineering with a 65% score, focusing on core mechanical engineering coursework.

SS

Sowdambika Hr. Sec. School

Higher Secondary Certificate, Higher Secondary (12th Std)

Grade: 62%

Completed HSC (12th Std) with a 62% score.

BS

Bharathi Vidhyalaya High School

Secondary School Leaving Certificate, Secondary Education (10th Std)

Grade: 76%

Completed SSLC (10th Std) with a 76% score.

Tech stack

Software and tools used professionally

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