
Aiham Taleb
Senior Scientist - Generative AI at Amazon | PhD in AI / Machine Learning
Updated 8 months ago
16+
Years Experience
9
Roles
36
Skills
4
Education
About
I'm currently working as a Senior Applied Scientist at Amazon Web Services, helping customers in their Generative AI journeys. I recently obtained my PhD in Machine Learning, particularly in Unsupervised Deep Learning methods. 5+ years industry experience in Machine Learning applications in several areas including computer vision, sales/marketing, speech and natural language processing. - I hold a master's degree in Computer Science from the Technical University of Munich (TUM). My main specialization area is Machine Learning - I'm proficient in diverse technologies and skills that are presented in the "Skills & Expertise" section - I participated in the development of multiple software projects that are shown under "Projects" Specialties: * Machine Learning / Deep Learning * Computer Vision * Natural Language Processing * Software Engineering Profiles: - Google Scholar: : https://scholar.google.com/citations?user=t1zp7IYAAAAJ - University page: https://hpi.de/lippert/team/aiham-taleb.html - Twitter: https://twitter.com/AihamTaleb
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Experience (9 roles)
Full-time · 3 yrs
Current2 roles · Aug 2022 - Present
Senior Applied Scientist
CurrentWorking on Generative AI use cases with AWS customers, to help them build innovative applications backed with GenAI capabilities Skills: Generative AI · Deep Learning · Computer Vision · Machine Learning · Natural Language Processing (NLP)
Applied Scientist - Generative AI
Working on Generative AI at Amazon Web Services https://aws.amazon.com/generative-ai/innovation-center/ Skills: Natural Language Processing (NLP) · Software Engineering · Programming · Computer Vision · Machine Learning · Deep Learning · Research · Generative AI
Research Associate
Worked with the machine learning research team at SAP for 6 months on a joint research project in Self-Supervised learning on multi-modal imaging data Skills: Programming
Research Assistant & PhD Candidate
Hasso Plattner Institute · Full-time
* Researching unsupervised (self-supervised) deep learning methods for multimodal (healthcare) data, in the chair of Machine Learning & Digital Health, led by Prof. Dr. Christoph Lippert. * Supervising student research projects. * Teaching machine / deep learning courses to masters and bachelors stu...
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Education (4)
Hasso Plattner Institute
May 2018 - Dec 2022
Machine Learning / Deep Learning methods and their applications on multi-modal (healthcare) data. Title of PhD thesis: Self-supervised deep learning methods for medical image analysis PhD Supervisor: Prof. Dr. Christoph Lippert Link to PhD Dissertation: https://publishup.uni-potsdam.de/frontdoor/index/index/docId/64408
Technical University of Munich
Oct 2013 - Jul 2015
Grade: 1.7 (equivalent to A or 90%) Main specialization area is Machine Learning. My thesis was with the title "Audio-based characterization of conversations with channel compensation", more details in "projects". My minors were "Software Engineering" and "Algorithms and Scientific Computing".
Damascus University
2007 - 2012
Grade: 80% Specialized in Artificial Intelligence. Graduated with "Very Good" Grading. Developed several projects related to Machine Learning, Computer Vision, Genetic Algorithms and Computer Graphics.
Skills (36)
Certifications (1)▼
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
Publications (4)▼
3D Self-Supervised Methods for Medical Imaging
Proceedings of Advances in Neural Information Processing Systems 33 (NeurIPS 2020) · Dec 1, 2020
Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification
Diagnostics · May 12, 2022
Multimodal Self-Supervised Learning for Medical Image Analysis
IPMI 2021, NeurIPS 2019 Workshops
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) · Jun 1, 2022
Languages (3)▼
Volunteer Experience (1)▼
Deaf Teaching Project
Ima'a Project, Damascus
Jun 2010 - Aug 2010 · 3 mos
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