Ali Raisi is a Data Engineer with extensive experience across multiple organizations, currently employed at Atos since February 2024 and at LIG - Grenoble Informatics Laboratory since November 2021, contributing to the NanoBubbles project, which investigates scientific correction processes through interdisciplinary approaches. Previous roles include an internship at NukkAI and LIG University focused on interpretable explanations for microcredit default risk, and positions as a Field Engineer at IMACD, Crestech IT, and Quattris Global Ltd. Earlier career experience includes serving as a Data Engineer at Roshan in Afghanistan, where Ali implemented automated data pipelines for telecommunications. Ali holds a Master 2 in Computer Science with a specialization in Artificial Intelligence and Data Science from the National School of Computer Science and Applied Mathematics of Grenoble, in addition to master's and bachelor's degrees in Computer Engineering and Information Technology from Khazar University and Kabul Polytechnic University, respectively.
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LIG - Grenoble Informatics Laboratory
Grenoble Informatics Laboratory (LIG) is one of the largest laboratories in Computer Science in France. It is structured as a Joint Research Center (French Unité Mixte de Recherche - UMR) founded by the following institutions: CNRS, Grenoble Institute of Technology (Grenoble INP), Inria Grenoble Rhône-Alpes, Grenoble Alps University. 500 members of LIG (faculty, full-time researchers, PhD students, administrative and technical staff) are distributed over three sites in Grenoble and its suburbs: the Saint Martin d'Hères Campus, Minatec, and the Montbonnot Campus. The mission of LIG is to contribute to the development of fundamental aspects of Computer Science (models, languages, methodologies, algorithms) and address conceptual, technological, and societal challenges. Increasing diversity and dynamism of data, services, interaction devices, and use cases influence the evolution of software and systems so they need to guarantee the essential properties such as reliability, performance, autonomy, and adaptability. Addressing such challenges is the objective of 24 research teams organized into 5 focus areas: Data and Knowledge Processing at Large Scale, Distributed Systems, Parallel Computing, and Networks. Formal Methods, Models, and Languages, Interactive and Cognitive Systems, Software and Information System Engineering. LIG focuses on the fundamentals of Computer Science and experimental developments while taking into account new societal challenges.