Kharthik Pandian S

Detail-oriented Data Annotation Specialist with 4 years of experience in labeling and reviewing large-scale visual datasets for ADAS. Proficient in tools like Kognic, CVAT (Computer Vision Annotation Tool), SMGT, SageMaker, and Power BI, with a strong focus on data accuracy and quality assurance. Experienced in working with cross-functional teams to deliver production-ready annotations that support machine learning models.

Objective

Passionate professional seeking opportunities in a dynamic and challenging environment where I can contribute meaningfully, grow continuously, and apply my skills to make a positive impact.

Senior Process Associate at Oracle (Client)- Inet Frame Technologies Pvt. Ltd (2025-08 – Present)

• Annotated images (Objects, Weapon, Face Detection, Multi Cam) using CVAT for object Detection and segmentation projects.
• Create Accurate Bounding Boxes and Polygons for various object categories and Performed Keypoint Annotation Tasks.
• Conducted Quality Assurance (QA) audits to ensure annotation precision and consistency across datasets.
• Managed task uploads, Label configuration and Datasets in YOLO and COCO formats.

Process Associate at Bosch Global Software Technologies (Client) – Vista Engineering Solutions Pvt. Ltd (2023-09 – 2025-06)

• Annotated temporal information in video sequences, including object tracking, trajectory analysis, and keyframe identification.
• Focused on LIDAR, PJGTR, and Parking datasets for Advanced Driver Assistance Systems (ADAS).
• Reviewed and labeled over 100,000 data Sets with 99% accuracy
• Enhanced documentation practices, leading to a 30% reduction in data annotation errors across multiple projects.
• Projects – Lane (Lane Detection), Polygon Labelling (Blockage), Key Points, LSR(Light Source Recognition)
• Served as a Quality Checker, reviewing deliverables to ensure data accuracy.
• Exploring and testing new tools while providing data for their enhancement.

ML Data Associate at Amazon Development Center Private Limited (2022-01 – 2022-07)

• Collected ground truth data for product development based on predefined instructions.
• Utilized internal tools for consistent data capture and daily workflow compliance.
• Project – Bounding Box (Text Annotation, Vehicle Detection, Road Symbol, Sign Board)
• Logged results, reported failures, and submitted individual reports adhering to quality and productivity benchmarks.

Bachelor of Engineering in Electrical and Electronics Engineering – KPR Institute of Engineering and Technology (2021)

Higher Secondary – TMHNU Mat, Hr., Sec, School (2017)

SSLC – TMHNU Mat, Hr., Sec, School (2015)