Ali A.

Key Skills

Software

Other

OpenCV AI Kit (OAK)

Top Subject Matter

Multilingual sentiment analysis (Arabic)

Fabric defect detection from visual media

Tweet data collection for NLP/ML

Top Data Types

Text

Video

Image

Top Task Types

Emotion Recognition

Object Detection

Data Collection

Freelancer Overview

Sentiment analysis project (deep learning). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and OpenCV AI Kit (OAK). Education includes Bachelor's Degree, MSA University (2024) and Completed Service, Military Services (2026). AI-training focus includes data types such as Text, Video, and Computer Code and labeling workflows including Emotion Recognition, Object Detection, and Data Collection.

Labeling Experience

Fabric defect detection project

OpenCV AI Kit (OAK)VideoObject Detection

Developed a fabric defect detection model using images and videos, designed to identify defects and report results in real time. Prepared and used visual data samples to train an ML model for defect recognition. Implemented an end-to-end pipeline in Python to support continuous inference on visual streams. • Detects fabric defects from image/video inputs • Enables real-time defect reporting • Uses Python ML workflow for training/inference • Focuses on visual defect detection and monitoring

2024 - 2025

Sentiment analysis project (deep learning)

OtherTextEmotion Recognition

Trained a deep learning sentiment analysis model on Arabic text to categorize sentiments into three classes for multilingual analytics use cases. Built the training pipeline around labeled text examples to enable automated sentiment classification. Applied NLP modeling techniques to support downstream reporting and decision-making. • Worked specifically on Arabic sentiment categorization into three classes • Used deep learning approaches for text emotion/sentiment modeling • Leveraged Python-based ML workflow for model training • Focused on generating actionable sentiment insights from text data

2024 - 2025

Advanced Tweets Scraping

OtherData Collection

Created a Python script to scrape tweets using advanced search queries to collect relevant textual data for analytics and model development. Implemented query-driven data acquisition to support building datasets from public social content. Produced scraped datasets intended for subsequent processing tasks such as NLP training or evaluation. • Scrapes tweets using advanced search queries • Supports dataset creation via automated data collection • Uses Python for query-driven retrieval • Intended for downstream text analytics/ML workflows

2023 - 2023

Education

Work History