Yahya Muhammad Alnwsany

Yahya muhammad Alnwsany

Relevant Coursework
• Data Engineer
• Deep learning

• Algorithms Analysis
• Azure

• Artificial Intelligence
• Internet Technology

• computer visiion - NLP
• Computer Architecture

Experience
Deep learning Company Oct 2023 –
deep learning Engineer Intern kfs , Egypt
• Developed a models in deep learning - computer vision - NLP - generate text .. all this projects to help community and
improve skills
•
UNI, KFS Sept 2022 – August 2026
Student - public speaking Kafer-Elshikh, Egypt
∗ learnt al ot of modules with all benefit and self-learning.
∗ public speaker and motivator in events
∗ presenter presentions and organization a lot of importence events.
Projects
Helmet detect | Python, tensorflow, pytorch January 2023
∗ YOLO v8 Architecture: The system employs the state-of-the-art YOLO v8 algorithm, which enables real-time object
detection..
∗ Leveraging the advanced YOLO v8 model, I have developed an intelligent system that accurately identifies whether a
driver is wearing a helmet or not.
∗ Helmet Detection: It accurately identifies and localizes the presence of a helmet on the driver’s head. Safety Assessment:
The system provides instantaneous feedback by determining whether the driver is complying with safety regulations.
∗ Efficient Algorithm: The implementation ensures fast processing with minimal computational overhead, ensuring a
seamless user experience. Real-world Application: HELMET-YV8 holds immense potential for integration into smart
transportation systems, enabling authorities and fleet operators to monitor driver safety effectively.
shakespeare-q | python, tensorflow , nlp , text generator November 2023
∗ Shekspare-Q” is an innovative project leveraging the power of Natural Language Processing (NLP) and TensorFlow to
generate quotes reminiscent of the legendary playwright William Shakespeare. Drawing inspiration from the eloquence
and poetic richness of Shakespearean language, this project aims to recreate the essence of his timeless prose.
∗ Using advanced NLP techniques, Shekspare-Q analyzes and learns from a vast corpus of Shakespearean works, including
plays, sonnets, and poems. Through deep learning algorithms implemented with TensorFlow, the system understands the
intricate patterns, syntax, and vocabulary characteristic of Shakespeare’s writing style
∗ During the training phase, the model learns to generate coherent and stylistically consistent quotes by predicting the next
word or phrase based on the context provided. Through iterative optimization and fine-tuning, Shekspare-Q refines its
language generation capabilities, striving for authenticity and fidelity to Shakespeare’s literary legacy.
Technical Skills
Languages: Python, C++, HTML/CSS, Shell script ,SQL
skills: tensorflow, pytorch, , Shell script ,SQL Developer Tools: VS Code, Eclipse, Azure Platform, Docker
Technologies/Frameworks: Linux, Docker, GitHub
Languages: Arabic, English, Deutsch