Ahmed Frikha
Staff Applied ML Scientist at Cerebras Systems
Abu Dhabi Emirate, United Arab Emirates
Summary
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Senior🎓
Top SchoolAhmed Frikha is a Staff Applied ML Scientist with eight years of applied research experience bridging academic rigor and product-driven ML at companies like Siemens, Huawei, and Cerebras Systems. He holds a PhD in machine learning from LMU and has a strong publication record in top venues on meta-learning, continual and few-shot learning, domain generalization, and privacy-preserving generative AI. Ahmed has translated research into production-relevant assets—implementing reusable frameworks, automating large-scale multi-GPU experiments on cloud infrastructure, and filing multiple patents. His recent work spans LLM safety, private fine-tuning and RAG, as well as federated and on-device solutions, reflecting a rare combination of model-level innovation and systems-minded deployment. Based in Abu Dhabi, he mentors students and engineers while driving cross-modal applications across NLP, vision and time-series data. A less obvious strength is his fluency in turning scarce or proprietary data constraints into robust, generalizable models via meta- and data-free learning techniques.
8 years of coding experience
5 years of employment as a software developer
PhD - Computer Science Machine Learning, PhD - Computer Science Machine Learning at Ludwig-Maximilians-Universität MünchenMaster of Science - MS Industrial Engineering (Mechanical Engineering and Management), Master of Science - MS Industrial Engineering (Mechanical Engineering and Management) at Technical University of MunichHighschool Diploma Mathematics, Highschool Diploma Mathematics at Lycée Pilote de l'Ariana (LPA)
Arabic, French, German, English, Spanish, Russian, Chinese
Stackoverflow
1reputation
0reached
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Github Skills (13)
one-class-classification9
meta-learning7
anomaly-detection6
occlusion5
deep-learning3
visualization3
backpropagation3
grad-cam3
few-shot-learning2
benchmarking2
pytorch2
algorithm1
multimodal1
Programming languages (2)
Github contributions (5)
AhmedFrikha/ARCADe-A-Rapid-Continual-Anomaly-Detector
Oct 2020 - Jan 2021
Contributions:4 commits, 4 pushes, 1 branch in 2 months
AhmedFrikha/Few-Shot-One-Class-Classification-via-Meta-Learning
Dec 2020 - May 2022
A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification
Contributions:2 pushes, 1 branch, 3 comments in 1 year 5 months
anomaly-detectionmeta-learningone-class-classification
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