Profile
Highly motivated and skilled professional with expertise in software architecture, embedded systems, and artificial intelligence. Proven ability to develop innovative solutions, particularly in the areas of smart agriculture and robotics. Strong background in both hardware and software development, with contributions to open-source projects. Fluent in Portuguese, French, and English.
Education

Ph.D. in Smart Agriculture: Robotique et traitement intelligent des données via intelligence artificielle

Ongoing at University Abdelmalek Essaadi

Master’s in Embedded Electronics & Telecommunications Systems

2021 at University Ibn Tofail

Bachelor’s in Industrial Maintenance

2019 at University Mohammed Premier

Experience

Ph.D. Student in Smart Agriculture

Ongoing

  • Developed an end-to-end deep learning solution for accurately classifying and segmenting diseased leaves.
  • Deployed and integrated models to extract infected regions and assess disease severity.
  • Designed a user-friendly mobile application for on-site disease identification.
  • Stack: Python, C++, ReactJs, React-Native

Full Stack Developer at INTELLCAP Corps

2021 - 2023

  • Developed the vision system for an underwater drone.
  • Established the software architecture for the drone’s 3D simulation system.
  • Led the construction, testing, and deployment of new drone features.
  • Stack: Docker, Python, Gazebo, ROS, YOLOv5

Trainee Embedded SW Developer at ONCF Morocco

2018 - 2019

  • Developed a detection system for monitoring minor wheel slippage in trains.
  • Stack: Arduino, C++

Certifications
Skills
  • Expertise in software architecture
  • Extensive development experience with C++ and Python
  • Proficient in software architectural principles and microservices
  • Experience with event-driven architectures (Apache Kafka)
  • Strong focus on developing distributed software systems
  • Solid grasp of DevOps and SRE best practices, including CI/CD pipeline creation using Docker
  • Advanced debugging skills in Python and C++
  • Deep background in electronics
  • Hands-on experience in computer vision, machine learning, and deep learning, with contributions to open-source projects on GitHub
  • Experience with ReactJs, React-Native
Languages
  • Portuguese: Native (fluent in speaking and writing)
  • French: Fluent (in speaking and writing)
  • English: Fluent