Candidate

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First Name: Mohanad
E-Mail Address: mohanados12@gmail.com
Country: Egypt
Phone: 0585800447
Current Job Designation: AI engineer
Job Designation Applying For: data analyst
Total Years of Experience: <1
Copy your Resume / CV in this box: MOHANAD OSMAN
Dubai, United Arab Emirates • +971585800447 • mohanados12@gmail.com
• https://www.linkedin.com/in/mohanad-osama-b6b129190
Professional Summary
A dedicated Artificial Intelligence Engineer with experience in integrating AI models into web
applications. Skilled in facial landmark detection using MediaPipe, and proficient in Python, React,
TypeScript, and TensorFlow.js. Looking to leverage technical skills and practical experience in a
challenging AI engineering role to contribute to innovative projects.
Skills
• JavaScript, TypeScript, React.js, Next.js, Three.js, React-three-fiber, Vite
• Node.js, Express.js, Java, Spring Boot, RESTful APIs, Microservices, RabbitMQ
• SQL, NoSQL, MongoDB, PostgreSQL, MySQL, GraphQL
• Agile Methodology, Git, Vite, Docker, Requirements Gathering and Analysis
• Machine Learning, Deep Learning, TensorFlow, PyTorch, Keras, Scikit-Learn, Pandas, NumPy,
Matplotlib, Seaborn, MediaPipe
• Natural Language Processing, Computer Vision
• Big Data, Hadoop, Spark, Feature Engineering, Exploratory Data Analysis
Work History
Artificial Intelligence Engineer, 11/2023 to Current
ONPASSIVE – Dubai, United Arab Emirates
• Worked in team to develop AI components then carried out integration into video conferencing
web application (O-Connect).
• Worked within Agile methodology, participating in daily standup, and reporting progress to
the lead.
Storyboard Artist, 08/2021 to 06/2022
Nawwar – Cairo, Egypt
• Enhanced visual storytelling by creating dynamic and engaging storyboards for various
educational videos.
• Created, rendered 3D models using Autodesk Inventor.
Education
Bachelor of Science: Computer Science and Engineering, 07/2023
German University in Cairo
Projects
O-CONNECT: https://oconnect.ai/
• Worked on implementing speech-to-speech functionality using Meta's SeamlessM4T.
• Utilized MediaPipe to detect facial landmarks and reflect these on Ready Player Me avatars
during video conferences.
• Integrated the avatar model into the video conferencing web application in React.
• Gained proficiency in React and TypeScript by implementing the front-end code for the avatar
feature.
BACHELOR THESIS:
• Find the best locations to build charging stations in an area based on the locations of existing
charging stations and nearest power-grids in python
ZALANDO MIRROR:
• Was part of the payments and orders micro-service used to mirror Zalando, which was
designed to pass a load testing using Java Springboot.
EMOTION RECOGNITION OF ARABIC TWEETS:
• Used Arabic tweet dataset, fine-tuned AraBERT to get sentiments of Arabic tweets with
accuracy of 73%.
CRASH BANDICOOT:
• Re-created the game's basic logic using unity engine.
DATA ENGINEERING:
• Using python, we explored, visualized, cleaned, transformed and integrated data so it can be
used.
AMAZING AIRLINES:
• Created a fully working airline reservation website using MERN stack.
DATABASE ENGINE:
• Simulated a database engine in java.
HEARTHSTONE:
• A strategic card game made in java.
GOODREADS:
• A clone website made in javascript.
Languages
English: C1
Advanced
Arabic:
Bilingual or Proficient (C2)
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