
yousef elsherif
@yousefelsherif
I build machine learning and generative AI applications, from freight-rate forecasting to e-commerce AI agents.
What I'm looking for
I'm a final-year Information Technology student at New Giza University, focused on Artificial Intelligence and Data Science.
I built an end-to-end freight-rate prediction pipeline using 48,000 labeled freight-load records, engineering route, geographic, date, market, and interaction features. Using CatBoost and expanding-window temporal validation, I achieved a mean MAE of approximately $116.44, R of 0.827, and MAPE of 5.54%.
I also developed an e-commerce AI assistant with Python, Streamlit, LangGraph, Groq LLM, and BM25 retrieval. Its routing workflow handled 26 of 30 evaluation queries, with measured end-to-end latency of approximately 336–427 ms.
At Barq Systems, I worked with Linux, Docker, Kubernetes concepts, Git, and collaborative deployment workflows. I bring hands-on experience across machine learning, deep learning, NLP, speech recognition, data preprocessing, feature engineering, and AI application development.
Experience
Work history, roles, and key accomplishments
DevOps Intern
Barq Systems
Jan 2025 - Present (1 year 9 months)
Worked with Linux command-line tools and core system administration concepts in a technical training environment. Built and managed Docker containers while learning containerization and application deployment workflows.
Education
Degrees, certifications, and relevant coursework
New Giza University
Bachelor of Information Technology, Information Technology
Final-year student with concentration in Artificial Intelligence and Data Science.
Udemy
AI Engineering Course, Artificial Intelligence
Covered Natural Language Processing (NLP), LangChain, Speech Recognition, Vector Databases, and AI application workflows.
Availability
Location
Authorized to work in
Portfolio
github.com/yousef121220004Salary expectations
Social media
Skills
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