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Teaching Assistant

yoseef ahmed mohamed

GTA

biography

Passionate computer scientist with strong expertise in software development, computer vision, and AI. Proficient in Python, PyTorch, TensorFlow, JavaScript, and TypeScript, with a proven record of delivering impactful solutions across domains. As a Graduate Teaching Assistant at AASTMT, mentored students in computer vision, data science, and big data, while designing assignments to enhance learning outcomes. Led research on a secure autism monitoring platform, integrating microservices, scalable APIs, and blockchain for data protection. Contributed to autonomous and underwater exploration systems and coached successful teams in ECPC, ACPC, and ICPC competitions. Recognized in international robotics and programming contests, combining technical excellence with a commitment to mentorship and innovation.

Education

2021

Bachelor - College of Computing & Information Technology - Egypt

Computer Science

experience

work experience

academic experience

research

Fields of Interest

Computer Science

publications

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Honors & awards

Honors

2nd Place MATE ROV International Competition

INVICTUS Software Team Member - Tennessee USA –Issued by MATE II

1st Place Arab Academy ROV Competition

INVICTUS Software Team Member - Issued by Egypt ROV

Professional Experience

  • R&D Engineer
    I led the design and development of a secure Autism Learning platform focused on monitoring the educational and health status of individuals with Autism. This included building a microservice using FastAPI and PyTorch that leveraged DeepFace for facial recognition and activity scoring. I also designed and implemented scalable REST APIs and a WebSocket-based streaming service to monitor patient behavior in real time via webcam. To ensure data privacy and security, I developed a blockchain-based application using React, Ganache, Ethereum, Truffle, and Web3.js. Throughout the project, I managed CI/CD pipelines, conducted code reviews, implemented pull requests, and performed comprehensive testing—including load, stress, unit, and integration tests—to maintain high performance and system reliability.

communities

Teaching Courses

Course Academic year Term

CCS2102 - Digital Logic Design

2025 Spring Semester View All Content

CCS4004 - Optimization Techniques

2025 Spring Semester View All Content

CCS2401 - Data Structures and Algorithms

2025 Spring Semester View All Content

CCS3203 - Operating Systems

2025 Spring Semester View All Content

CAI3002 - Mathematical Foundations for AI

2025 Fall Semester View All Content

CS403 - Optimization Techniques

2025 Spring Semester View All Content

CS455 - Digital Image Processing

2023 Spring Semester View All Content

CS312 - Computing Algorithms

2022 Spring Semester View All Content

projects

contact Me

Branch : AASTMT Smart Village Branch, Smart Village, Egypt

Office Phone :

Extension Number :

Fax :

Mobile : 01022190619

Email: Send Email

Location : Smart Village B 523