Faisal Mehmood

Key Skills

Software

iMerit

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Classification

Freelancer Overview

I am a detail-oriented software engineer with hands-on experience in building and deploying full-stack web applications, where precise data handling and user-focused design were essential. My background includes implementing robust CRUD operations, managing real-time updates, and integrating secure authentication and payment systems in complex domains such as e-commerce and real estate. I am highly skilled in JavaScript, React, Node.js, MongoDB, and have used tools like Firebase, Supabase, and Cloudinary for data management and storage. Through my open source contributions and collaborative projects, I have developed strong problem-solving and communication skills, ensuring data accuracy, consistency, and quality—key strengths I bring to data labeling, annotation, and AI training data roles.

Labeling Experience

Image Data Annotator (Nidra_Image Preference project)

ImeritImageClassification

As an Image Data Annotator on the Nidra_Image Preference project with iMerit Technologies, I contributed to preference modeling through meticulous image annotation. I followed detailed instructions and a defined taxonomy to label image attributes and associated metadata for downstream AI models. I ensured consistency, thoroughly documented edge cases, and helped refine labeling guidelines through my notes. • Labeled image preferences and metadata per project taxonomy • Verified consistency across labeled data and corrected ambiguous cases • Documented complex scenarios and contributed feedback for guideline improvement • Supported dataset curation for effective AI preference modeling

As an Image Data Annotator on the Nidra_Image Preference project with iMerit Technologies, I contributed to preference modeling through meticulous image annotation. I followed detailed instructions and a defined taxonomy to label image attributes and associated metadata for downstream AI models. I ensured consistency, thoroughly documented edge cases, and helped refine labeling guidelines through my notes. • Labeled image preferences and metadata per project taxonomy • Verified consistency across labeled data and corrected ambiguous cases • Documented complex scenarios and contributed feedback for guideline improvement • Supported dataset curation for effective AI preference modeling

2025

Freelance Image Data Annotator

ImeritImageBounding Box

As a Freelance Image Data Annotator for iMerit Technologies, I performed image labeling and annotation to create high-quality AI training datasets. My responsibilities included drawing bounding boxes, classifying objects, and applying category tags to images according to precise client guidelines. Throughout the project, I proactively conducted quality checks and coordinated with project leads to ensure data accuracy. • Performed bounding box and classification labeling on image datasets • Applied consistent annotation standards to maximize quality for model training • Coordinated with project leads to correct errors and clarify ambiguities • Implemented feedback to ensure annotations met accuracy and consistency requirements

As a Freelance Image Data Annotator for iMerit Technologies, I performed image labeling and annotation to create high-quality AI training datasets. My responsibilities included drawing bounding boxes, classifying objects, and applying category tags to images according to precise client guidelines. Throughout the project, I proactively conducted quality checks and coordinated with project leads to ensure data accuracy. • Performed bounding box and classification labeling on image datasets • Applied consistent annotation standards to maximize quality for model training • Coordinated with project leads to correct errors and clarify ambiguities • Implemented feedback to ensure annotations met accuracy and consistency requirements

2025

Education

Work History