Ahsan Mahmood

Key Skills

Software

Snorkel AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Video

Top Label Types

Bounding Box

Computer Programming Coding

Text Generation

Freelancer Overview

I have over 4 years of experience working with cloud infrastructure, automation, and software development, which has given me a strong foundation in handling and preparing data for AI and machine learning applications. I am a seasoned AI Training Specialist with extensive experience in high-quality data labeling. Leveraging platforms such as Snorkel AI, Outlier, Telus International and Handshake, I have contributed to the development of sophisticated machine learning models through rigorous data curation. My background is uniquely bolstered by a strong technical foundation in Python and version control via GitHub, allowing me to navigate complex coding projects and assist in the fine-tuning of Large Language Models (LLMs) with precision and developer-level insight. My expertise spans a wide array of annotation disciplines, including Computer Vision (CV) and Natural Language Processing (NLP). I have successfully executed complex tasks such as multi-format video and image annotation, icon identification, and precise spatial cropping. Furthermore, I have specialized experience in object manipulation tasks such as digital furniture removal and label extraction—and transcription-based labeling. This versatility, combined with my ability to handle platform-specific workflows, enables me to deliver high-accuracy datasets that drive model performance across diverse industries.

Labeling Experience

Contract AI Expert Contributor

Snorkel AIComputer Code ProgrammingComputer Programming Coding

This project focuses on reviewing and executing Python code changes using real repositories and pull requests. We have to work with model-generated responses that attempt to modify existing code. The goal is to evaluate those changes, determine whether they correctly implement the intended behavior, and guide the model toward a correct and complete result.

This project focuses on reviewing and executing Python code changes using real repositories and pull requests. We have to work with model-generated responses that attempt to modify existing code. The goal is to evaluate those changes, determine whether they correctly implement the intended behavior, and guide the model toward a correct and complete result.

2025

Education

Work History