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Nilesh Chandra

Nilesh Chandra

Data Annotation & AI Quality Specialist

Talent
BengaluruMember since August 20, 2026
ADASObject DetectionBounding BoxesPolygonsText AnnotationCVATGulp
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ADASObject DetectionBounding BoxesPolygonsText Annotation

About

Detail-driven Data Annotation & AI Quality Specialist with over 4 years of hands-on experience in labeling and validating complex visual datasets (images, video, LiDAR) for machine learning and computer vision systems. Proven expertise in ADAS, text annotation, object detection, bounding boxes, 3D cuboids, and keypoint annotations using industry tools like CVAT and Gulp(in-house). Skilled in executing rigorous quality assurance processes and resolving labeling edge cases.

Strong track record in team mentoring, guideline refinement across autonomous vehicles and computer vision projects.

Experience

Data Annotator - Oracle India Private Limited (via Highpoints Technologies India Pvt. Ltd.)

(2023-11 - 2026-05)

  • Label and validate large-scale image and video datasets to power computer vision models, consistently maintaining an accuracy rating of 98%+ against strict data quality standards.
  • Apply precise 2D/3D annotations—including bounding boxes, polygons, polylines and 3D cuboids—for complex object classes across faces, persons, weapons, vehicle components, and custom targets.
  • Perform systematic quality checks and edge-case analyses to identify and resolve labeling inconsistencies, directly contributing to continuous process improvements and training efficiency.
  • Mentor and onboard new team members on annotation guidelines, labeling standards, and CVAT tool usage, ensuring high output quality across the team.

ITES Executive - iMerit Technology Services Pvt. Ltd.

(2020-12 - 2023-02)

  • Executed frame-by-frame validation and quality reviews to verify class attributes, dynamic light states, and spatial linkages between camera and LiDAR data for ADAS and computer vision projects.
  • Applied ground labeling and road/non-road semantic separation techniques to support continuous mapping and spatial navigation algorithm development.
  • Identified edge cases in initial labeling efforts and provided feedback to refine annotation guidelines and align with project specifications.

Education

Master of Technology (M.Tech) - Machine Design (2020)

Bachelor of Technology (B.Tech) - Mechanical Engineering (2014)

Skills

Data Annotation & AI Quality Specialist

Reviews

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