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nabeel sawafta

@nabeelsawafta

AI trainee at ASAL Technologies who developed a condition-aware gait recognition system combining scene routing with specialized models.

Palestine, State of

Message

What I'm looking for

I'm eager to apply my technical knowledge to real-world AI and software challenges.

At SinaLab, I contributed Arabic text samples and reviewed sentences for an Arabic conversational AI model. I also assisted with labeling and validating NLP training data.

As an AI Trainee at ASAL Technologies, I completed training in AI and full-stack software development. I developed backend services with FastAPI and contributed to frontend development using React.

For my graduation project, I developed a condition-aware gait recognition system that routes video to specialized models based on scene and clothing conditions. I also built projects including an AI trip-planning platform and a satellite pass predictor.

Experience

Work history, roles, and key accomplishments

AI Trainee

ASAL Technologies

Jan 2026 - Jan 2026 (0 months)

Completed intensive training in Artificial Intelligence and full-stack software development. Developed backend services using FastAPI and contributed to frontend development using React.

fastAPI React Data Analysis Pre processing Git Debugging Testing Agile

AI Language Data Contributor

SinaLab

Jan 2024 - Jan 2025 (1 year)

Contributed 550+ Arabic text samples to support training and evaluation of an Arabic conversational AI model. Reviewed and refined Arabic sentences to improve linguistic accuracy and natural dialogue flow.

Arabicnlp Data Labeling Data Validation Machine Learning Teamwork