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Youssef Mahmoud

@youssefmahmoud

Message

I am an AI-focused computer scientist specializing in NLP and data-driven models.

Egypt

Message

What I'm looking for

I seek an entry-level role in NLP/ML or data engineering where I can apply NLP expertise, work collaboratively, continue learning, and contribute to impactful, data-driven products.

I am a computer science graduate with a specialization in artificial intelligence and hands-on experience building NLP systems. I code in Python and C++ and enjoy tackling algorithmic challenges and data engineering tasks.

I led a university Arabic Machine Reading Comprehension project that produced a large language model attaining over 90% accuracy, preprocessing ~400,000 text lines and applying AraBERT and AraELECTRA to improve performance; I also interned in data administration, helping reduce database downtime by 15% and learning RAID and backup strategies.

Experience

Work history, roles, and key accomplishments

NLP Engineer

Ain Shams University

Oct 2021 - Jul 2022 (9 months)

Led a 3-person team to develop an Arabic machine reading comprehension Large Language Model achieving over 90% accuracy; processed ~400,000 text lines and implemented AraBERT and AraElectra to improve performance and efficiency.

Natural Language Processing AraBERT AraElectra Large Language Models Data Cleaning data preprocessing Python Model Evaluation Machine Learning

Data Administrator Intern

Attijariwafa Bank

Jul 2019 - Aug 2019 (1 month)

Collaborated with database, communication, technical support, and cybersecurity teams during a data administration internship and implemented troubleshooting that reduced database downtime by 15%. Explored RAID and backup systems to improve data reliability and system resilience.

Database Administration Troubleshooting RAID Backup Technical Support Reliability Cross Functional Collaboration

Competitive Programmer

ACPC

Sep 2018 - Feb 2019 (5 months)

Competed in ACPC programming contests, consistently ranking in the top 20% and increasing competition scores by 90% through C++ implementation of divide-and-conquer, greedy algorithms, and optimized data structures.