Shad Javed Ansari

Key Skills

Software

CVAT

LabelImg

Label Studio

Roboflow

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Label Types

Classification

Computer Programming Coding

Evaluation Rating

Prompt Response Writing SFT

Segmentation

Freelancer Overview

AI Training Data Contributor with 1+ year of hands-on, project-based experience supporting AI model development through Python scripting, structured data processing, and AI output review. Skilled in working with structured datasets (CSV, JSON, Markdown), automation-style workflows, and improving AI-generated technical outputs while strictly following detailed guidelines and formatting rules. Experienced in computer vision and data annotation tasks, including image-based annotation workflows and Python-assisted data validation. I have worked with tools such as Roboflow and CVAT, and with custom Python workflows to clean, validate, and standardize training data. My background includes reviewing AI-generated code, correcting logic and syntax issues, and ensuring outputs meet project specifications. I am reliable for paid onboarding tasks, AI interviews, and quality-focused AI training projects that require accuracy, consistency, and scalable data preparation.

Labeling Experience

AI Data Processing & Automation Tasks (Python-Based)

OtherComputer Code ProgrammingClassificationEvaluation Rating

Worked on Python-based AI training tasks involving automation-style workflows, structured data processing, and AI output evaluation. My responsibilities included writing and debugging Python scripts, extracting and transforming structured data (CSV, JSON, Markdown), and validating outputs against strict formatting and project guidelines. I reviewed and corrected AI-generated code and technical responses, fixed logical and syntax errors, and ensured consistency and correctness across datasets. The project required strong attention to detail, adherence to instructions, and self-QA to deliver reliable, machine-ready outputs for AI training.

Worked on Python-based AI training tasks involving automation-style workflows, structured data processing, and AI output evaluation. My responsibilities included writing and debugging Python scripts, extracting and transforming structured data (CSV, JSON, Markdown), and validating outputs against strict formatting and project guidelines. I reviewed and corrected AI-generated code and technical responses, fixed logical and syntax errors, and ensured consistency and correctness across datasets. The project required strong attention to detail, adherence to instructions, and self-QA to deliver reliable, machine-ready outputs for AI training.

2024 - 2025

Python Face Recognition Attendance System (AI-Assisted Automation Project)

OtherImageClassificationObject Detection

Developed a Python-based face recognition system to automate attendance tracking using computer vision techniques. The project involved implementing automation workflows for image capture, face detection, recognition, and structured attendance logging. I processed and stored outputs in structured formats (CSV/JSON), debugged Python scripts to improve accuracy and reliability, and validated results across different scenarios and edge cases. The project demonstrates hands-on experience with Python automation, AI-assisted workflows, and image-based data processing.

Developed a Python-based face recognition system to automate attendance tracking using computer vision techniques. The project involved implementing automation workflows for image capture, face detection, recognition, and structured attendance logging. I processed and stored outputs in structured formats (CSV/JSON), debugged Python scripts to improve accuracy and reliability, and validated results across different scenarios and edge cases. The project demonstrates hands-on experience with Python automation, AI-assisted workflows, and image-based data processing.

2024 - 2024

Image Annotation & AI Training Support Tasks

RoboflowImageSegmentationClassification

Supported computer vision AI training projects involving image annotation and dataset validation. Responsibilities included classifying and segmenting visual elements, reviewing annotations for accuracy, and ensuring consistency with project-specific guidelines. Performed quality checks, corrected annotation errors, and maintained clean, structured datasets suitable for machine learning model training and evaluation.

Supported computer vision AI training projects involving image annotation and dataset validation. Responsibilities included classifying and segmenting visual elements, reviewing annotations for accuracy, and ensuring consistency with project-specific guidelines. Performed quality checks, corrected annotation errors, and maintained clean, structured datasets suitable for machine learning model training and evaluation.

2023 - 2024

Education

Work History