
Fares Ben Othman
@faresbenothman
Data & ML Engineer at Huawei Technologies who developed an LTE congestion detection pipeline and interactive visualization dashboard.
What I'm looking for
At Huawei Technologies, I designed data processing pipelines for LTE data and developed an unsupervised anomaly detection pipeline to identify network congestion.
I also built a multi-output LSTM model to predict network KPIs and developed an interactive Flask and JavaScript dashboard to visualize congestion zones.
At Resalogic Software Consulting, I developed and deployed a SaaS application using Node.js, MySQL, and Docker, and integrated REST APIs. I also set up CI/CD pipelines on Microsoft Azure.
In my projects, I evaluated Siamese and Prototypical Networks for few-shot industrial motor fault classification, and developed an HRMS platform and a real-time traffic sign detection system.
Experience
Work history, roles, and key accomplishments
Designed scalable data processing pipelines for large-scale LTE data, including data cleaning, feature engineering, and batch processing. Developed an unsupervised anomaly detection pipeline and a multi-output LSTM model to predict network KPIs, plus an interactive dashboard for congestion visualization.
Gained hands-on experience in a professional software engineering environment and contributed to technology-driven projects. Developed skills in problem-solving, software engineering, and working in an industrial environment.
Education
Degrees, certifications, and relevant coursework
National Engineering School of Sousse (ENISo)
Engineer, Applied Computer Science
2023 -
Pursuing an Applied Computer Science Engineer degree, with expected completion in 2026.
Preparatory Institute for Engineering Studies El Manar (IPEIEM)
Preparatory Studies, Engineering
2021 - 2023
Completed preparatory studies for engineering.
Ibn Sina High School
Baccalaureate, Mathematics
2017 - 2021
Grade: High Honors
Earned a Baccalaureate in Mathematics with high honors.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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