Helping AI/ML teams build accurate, high-quality labeled datasets — on time, every time.

Hi, I'm Fawad — a Data Annotation Specialist with 5 years of hands-on experience labeling images and video for AI and computer vision models.
My journey began in 2021, working with AI-Dashcam systems for commercial and industrial vehicles, where I annotated thousands of video frames to improve driver behavior and road safety detection accuracy. Over time, I expanded into semantic segmentation, precisely masking vehicle body panels and components for automotive damage-assessment AI — work that required strict pixel-level accuracy and consistency.
I've worked extensively with annotation tools like CVAT and trained a team of 20 annotators on labeling standards, which gave me a deep understanding of both the technical and quality-control aspects of dataset creation.
What I bring to your project:

1. Pixel-accurate semantic segmentation & bounding box annotation
2. Frame-by-frame video annotation
3. Strong attention to label consistency and class balance
4. Clear communication and on-time delivery
5. Experience in training and reviewing other annotators' work

I care about getting the small details right, because I know that clean, well-structured data is what makes AI models actually work well in the real world.

Work Terms

Availability: I work full-time and am available 6 days a week, with quick response times (usually within a few hours).
Communication: I prefer communication through Guru's WorkRooms or messaging system. I provide regular progress updates so you're never left wondering about project status.
Payment Terms: I'm open to hourly or fixed-price agreements depending on project scope. For larger projects, I recommend milestone-based payments for mutual security.
Revisions: I'm happy to make reasonable revisions to ensure the final annotated dataset meets your exact requirements and labeling guidelines.
Turnaround: Turnaround time depends on dataset size — I'll always provide a clear timeline estimate before starting any project.