Key Skills

Software

Axiom AI

Clickworker

Data Annotation Tech

Labelbox

LabelImg

Remotasks

Roboflow

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Video

Top Task Types

Bounding Box

Computer Programming Coding

Entity Ner Classification

Text Generation

Freelancer Overview

I am a Computer Science Engineering student and AI Engineer Intern at LTID (Japan) with hands-on experience in AI/ML model development, NLP, and computer vision. I have worked extensively on transformer-based LLMs, LLM agents for accounting automation, and self-adapting language models. My graduation project pioneered Arabic NLP research by developing the first BERT-based model for aspect-sentiment triplet extraction, creating the first Arabic dataset for this task, and achieving F1 scores of 65-70%. This work has been accepted for publication at an upcoming conference. My technical expertise spans data annotation, model training, and evaluation across multiple domains. I have applied YOLO for object detection in underwater robotics (2nd place ROV Derby competition), implemented computer vision algorithms for image processing and seam carving, and developed full-stack web applications with Laravel and Django. With strong proficiency in Python, PyTorch, AraBERT, OpenCV, and data labeling workflows, I bring both theoretical knowledge and practical experience in preparing high-quality training data for AI systems. My competitive programming background (ICPC 32nd/500 teams) further strengthens my problem-solving and analytical skills essential for meticulous data labeling work.

Labeling Experience

Education

Work History