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Saravanan N

Saravanan N

Data Annotation & Computer Vision Analyst

Talent
Chennai, Chennai districtMember since November 3, 2025
LiDAR AnnotationSegmentationPolygonPolylineLLMAmazon SageMaker Ground TruthCVATMulti MangoFastLabel
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LiDAR AnnotationSegmentationPolygonPolylineLLM

About

Data Annotation & AI QA Specialist with 2.7+ years of experience in Computer Vision, LiDAR, and LLM data annotation projects. Skilled in 2D/3D bounding box annotation, segmentation, Keypoint labeling, QA validation, and autonomous driving datasets. Proven ability to deliver high-quality datasets while maintaining strict quality standards for AI/ML model training. Experienced in collaborating with AI engineers, ML teams and data scientists to improve dataset quality and model performance.

Experience

Associate - Data Annotation & QA Associate at Hurix Systems Private Limited (2025-11 – Present)

  • Verified system-extracted text from image inputs against dedicated OCR panels; utilized LaTeX syntax to validate complex mathematical formulas and applied HTML tags, mask coding to structure tabular data fields.
  • Performed keypoint annotation using V7 Darwin for motion tracking and pose estimation projects.
  • Contributed to LLM data annotation and validation projects using Multi Mango.
  • Annotated satellite imagery datasets for vegetation and geospatial analysis.
  • Performed motion capture annotation for human movement and skydiving datasets.
  • Created polygon-based annotations for autonomous driving datasets using FastLabel.
  • Maintained annotation quality standards through QA review and validation processes.

Senior Data Annotation Analyst at Objectways Technologies (2023-08 – 2025-08)

  • Performed image, video, and LiDAR annotation for AI/ML model development.
  • Worked on object detection, segmentation, tracking, and classification datasets.
  • Utilized annotation tools including CVAT, Amazon SageMaker Ground Truth.
  • Executed 2D/3D bounding box, polygon, polyline, and cuboid annotations.
  • Supported automotive, retail, and medical AI projects.
  • Conducted QA validation and quality checks to maintain annotation consistency and accuracy.
  • Collaborated with ML engineers and data scientists to improve training dataset quality and model performance.

Education

Bachelor of Engineering in Computer Science and Engineering – M.Kumarasamy College of Engineering (2017-08 – 2021-04)

Skills

Data Annotation & Computer Vision Analyst

Reviews

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