Data Annotation Specialist in Computer Vision and Autonomy

Mohammed Taufiq Umar J

***************@*****.***

linkedin.com/in/mohammed-taufiq-umar-j-105960281

Data Annotation with 1 year of experience in Lidar points processing,2D/3D Bounding box annotation and sensor fusion. work flows using AWS SageMaker Ground Truth, CVAT and advance annotation tools for polygon and bounding box known for delivering precise, high-quality annotations and strengthen computer vison and autonomous driving model.

OBJECTWAYS TECHNOLOGIES – (July 2024 to Aug 2025) Karur Computer Vision Analyst

• Performed high-quality 2D/3D annotation for computer vision and autonomous driving datasets.

• Worked on Lidar points-cloud labelling, including 2D bounding boxes and 3D cuboid and object for object lane detections

• A fully managed data labelling service, Amazon sageMaker Ground truth is built on Amazon web service (AWS) and create high quality ground truth dataset that can be used to train machine learning.

• Performed polygon annotations with high accuracy for machine learning dataset.

• Led the data labelling process using AWS ground truth, defining task types(bounding boxes, segmentation, object detections) for high accuracy annotations

• Data Labelling Technique.

• Knowledge in Computer Vison Projects.

• Creating and refining annotations for object detections.

• Identifying key points and landmark within image for tasks.

• Labelling pixels for image segmentation.

Mobile No : 956-***-****

SKILLS

PROFESSIONAL EXPERIENCE

• Text editing on document sourcing.

• Numpy, Pandas, Matplotlib, seaborn and Tkinter in python language

• Python With Machine Learning

SA Career Development Center,Tiruchirappalli

• Higher Secondary Certificate

RN. Matriculation Higher Secondary School,Chinnadharapuram 2021-2024 77.84%

DOB: 17.08.2003

Gender: Male

Nationality: Indian

Permanent Address : D.No:10/99-1,Agaraharam, Chinnadharapuram 639202 Tamilnadu Language known: Tamil, English

CERTIFICATION

PROJECTS

PERSONAL INFORMATION

2020-2021 81.73%

• Bachelor of Computer Applications

Jamal Mohamed College(Autonomous),Tiruchirappalli

• Basic machine learning project to find accuracy rate of diabetes patients using pandas, numpy and seaborn

• Restaurant billing management using Tkinter

EDUCATION

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