I have hands-on experience designing and deploying scalable AI/ML systems to solve complex real-world problems. My specialization lies in time series, anomaly detection, and deep learning for behavioral modeling. I am passionate about tackling data-driven challenges and enjoy collaborating with cross-functional teams.

Majdi Frikha

I have hands-on experience designing and deploying scalable AI/ML systems to solve complex real-world problems. My specialization lies in time series, anomaly detection, and deep learning for behavioral modeling. I am passionate about tackling data-driven challenges and enjoy collaborating with cross-functional teams.

Available to hire

I have hands-on experience designing and deploying scalable AI/ML systems to solve complex real-world problems. My specialization lies in time series, anomaly detection, and deep learning for behavioral modeling. I am passionate about tackling data-driven challenges and enjoy collaborating with cross-functional teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
German
Intermediate

Work Experience

AI/ML Engineer at Personal Projects
January 1, 2025 - Present
Developed an end-to-end AI pipeline covering data ingestion, automated feature extraction, model training and evaluation. Containerized models using Docker and deployed them as FastAPI microservices. Integrated MLflow for experiment tracking, model versioning and registry management.
AI/ML Engineer at HTWK Leipzig
April 1, 2020 - January 1, 2025
Built and deployed machine learning models for behavioral energy consumption using LSTM, GRU, and hybrid DL models. Developed anomaly detection pipelines for household usage patterns, integrated weather and seasonal data. Applied XGBoost and probabilistic modeling to improve predictive accuracy.
AI/ML Engineer Intern at HTWK Leipzig
May 1, 2019 - December 1, 2019
Simulated autonomous PV generation scenarios and optimized battery storage for different household usage profiles. Designed and validated modeling pipelines using Python and deep learning models.
AI/ML Engineer Intern at Digital Research Center of Sfax
January 1, 2017 - June 1, 2017
Applied deep learning techniques on behavioral time series to identify deviations and patterns. Built classification and forecasting models using LSTM and GRU.

Education

PhD in Information Science and Technology at HTWK Leipzig / ENET’Com
January 1, 2020 - January 1, 2025
M.Sc. in Information Science and Technology at ENET’Com
January 1, 2017 - January 1, 2019
B.Sc. in Information Science and Technology at ENET’Com
January 1, 2014 - January 1, 2017

Qualifications

Add your qualifications or awards here.

Experience Level

Expert
Expert
Expert
Expert
Expert

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