Muhammad Adil Tariq
Birmingham
Summary
Highly motivated and results-oriented Data Annotation Engineer with 3+ years of experience creating high-quality labeled datasets for diverse AI and Machine Learning applications. Proven ability to independently manage and execute complex annotation projects, ensuring accuracy, efficiency, and adherence to strict quality control standards. Skilled in utilizing various data annotation tools and developing Python scripts to streamline workflows. Possesses strong communication, teamwork, and problem-solving skills, complemented by an academic background in Gender Studies.
Overview
5
5
years of professional experience
Work History
Warehouse Operative
DP World Logistics
08.2024 - Current
- Efficiently manage warehouse operations, ensuring timely order fulfillment and accurate inventory control.
- Collaborate effectively with team members to maintain a safe and productive work environment.
- Contribute to the smooth flow of logistics within a fast-paced warehouse setting.
Data Annotation Engineer
ADLYTIC AI
02.2022 - 11.2023
- Led the creation and management of high-quality labeled datasets for various AI projects, including gender classification, tracking, sports analytics (player and ball annotation, basketball field segmentation).
- Developed comprehensive annotation guidelines and trained junior annotators to ensure consistent labeling of gender-related data.
- Utilized expertise in data entry operations and project management to ensure timely project completion within budget constraints.
- Leveraged Python scripting to automate repetitive tasks and enhance data processing efficiency.
Data Annotation Specialist
OMNO AI
11.2019 - 09.2020
- Performed diverse data annotation tasks, including traffic and football data annotation, to support the development of robust AI models.
- Created well-structured datasets for training AI models in various domains.
- Demonstrated strong data entry skills and adherence to established quality control procedures.
Education
Bachelor of Science - Gender Studies
University of Punjab
Lahore, Pakistan09-2020
Skills
- Data Annotation: Image Recognition, Object Detection, Object Tracking, Segmentation, Text Classification
- Data Labeling Tools: Labelbox, VGG Image Annotator, CVAT, VOTT, Labelimg
- Programming: Python
- Project Management Team Management Communication Problem-Solving
- Data Entry Warehouse Operations Inventory Management
Languages
Urdu
Native language
English
Intermediate
B1
Timeline
Warehouse Operative
DP World Logistics
08.2024 - Current
Data Annotation Engineer
ADLYTIC AI
02.2022 - 11.2023
Data Annotation Specialist
OMNO AI
11.2019 - 09.2020
Bachelor of Science - Gender Studies
University of Punjab
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