Ahmed Yasser Eita
Edmonton,AB
Summary
Self-motivated, experienced Machine Learning engineer with a solid academic background and analytical-driven mindset, making him an expert in complex problem-solving. Accustomed to working with cross-cultural, global teams and remote work; dedicated to achieving demanding development objectives according to tight schedules while taking innovative paths in delivering the target.
Overview
4
4
years of professional experience
1
1
Certificate
Work History
Machine Learning Engineer
Numerare
02.2022 - Current
- Enhanced a traffic detector with advanced Computer Vision algorithms resulting in a significantly improved performance.
- Optimizes ML models according to the client's requirements.
- Developed a light Machine Learning algorithm with MicroPython for a low-cost people counter & analyst system product.
- Datasets collection, cleaning, and preprocessing.
- Implemented scalable machine learning platforms that supported large-scale deployments of AI-driven applications.
- Creates logical software programs with Python/C++ for customized support issues.
- Database management, analysis, and monitoring.
- Mobile application and web page development coordination.
Core Network Engineering Intern
Maxis Broadband Sdn Bhd
07.2020 - 09.2020
- Ongoing cloud telco performance monitoring solutions research.
- Analyze NFVi data and created a Splunk dashboard visualization.
- Collaborated with a team to automate tenant license renewal process using UiPath.
Education
Master of Applied Science - Machine Learning Thesis
Concordia University
Montreal, QC10.2023
Bachelor of Electrical and Electronics Engineering -
University of Malaya (UM)
Kuala Lumpur, Malaysia07.2021
Publications
- Eita, A. Y., Ennajari, H., & Bouguila, N. (2023). 3D Multi-Views Object Classification Based on a Fully Generalized Dirichlet Allocation Model. IEEE International Conference on Industrial Technology.
- Eita, A. Y., Ennajari, H., Ojo, A. O., & Bouguila, N. (2024). VAE-Preceded Attention: Fusing Multi-Views For Complete 3D Object Recognition. SUBMITTED to CVPR 2024.
Computer skills
Programming
- Python (PyTorch, TensorFlow, Sklearn, OpenCV, Pandas, Matplolib, NumPy)
- C++
- Java
- MicroPython
- Arduino
Database
- MySQL
- Redis
Remote Work
- PuTTy
- WinSCP/FileZilla
- Remote Desktop
- Anydesk/Rustdesk
- Remote.it
Skills
- Leadership
- Project Management
- Teamwork
- Time Management
- Fast Learner
- Communication
- Multitask
- Organization
Certification
- IEEE Young Professional certified
- Certificate of completion AWS solutions training
- 6 certifications of appreciation for devoted solutions presented in Makerthons
- AWS DeepRacer Maxis Community race 2020 championship certified
- Leadership and resilience certified by GYSO
- UMISA hero certified as the most hardworking and committed member
- IELTS: overall score 7.0
- Machine Learning Skill Assessment; LinkedIn
- SQL development certification; LinkedIn
Timeline
Machine Learning Engineer
Numerare
02.2022 - Current
Core Network Engineering Intern
Maxis Broadband Sdn Bhd
07.2020 - 09.2020
Master of Applied Science - Machine Learning Thesis
Concordia University
Bachelor of Electrical and Electronics Engineering -
University of Malaya (UM)
Languages
English
Native or Bilingual
Arabic
Native or Bilingual
French
Elementary
Curriculum Activities
- Innovation Lab; Makerspace for Youth Empowerment, Montreal, QC, 09/2021, 05/2022, Innovation lab leader and team advisor, Working with an interdisciplinary team to encourage the youth towards STEAM careers by creating accessible learning activities and cost-effective classroom interactions, Produced two guidelines about STEAM projects that the Youth can carry out which are now featured in Instructables.ca
- Robotics Engineering Design (RED), Kuala Lumpur, Malaysia, 09/2017, 08/2018, Represented RED with a team at Malaya Makerthon 2018 where we created an LED fire guidance & decorative system and achieved the top 5 in rank, Developed a remote-controlled robot car, a line follower robot car, and a robot arm with Arduino
References
- Prof. Nizar Bouguila, CIISE, Concordia University, Montreal, QC, Canada, (514) 848-2424, nizar.bouguila@concordia.ca
- Mr. Frank Frattolillo (Co-founder), Numerare, Montreal, QC, Canada, (438) 990-9346, Frank@numerare.ca
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