Experienced MLOps Engineer with a 2-year background in Data Science, Data Engineering, and DevOps with Degrees in Software Engineering and Intelligent Systems. I love problem solving but most importantly novelty when it comes to challenges, My cross-disciplinary skills help me to communicate effectively with other colleagues for better work efficiency. Actively seeking full-time MLOps/DevOps positions.
Jan 2023 - present
Apr 2022 - Jan 2023
Automated sitemap generator
Mar 2021 - Sept 2021, Bordeaux, France
Synthesis and learning of boolean networks for predicting cellular differentiation
Re-modeling the purchase-to-pay business process
Jul 2017 - Jul 2017, Meknes, Morocco
Digital transformation of day-to-day accounting tasks
Master's Degree of information systems and intelligent systems (M2SI)Taken Courses
Extracurricular Activities
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Bachelor's Degree (1 year) of information systems and big data (BDSI)Taken Courses
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DUT (2 years) (Software Engineering)Taken Courses
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Master’s thesis in Feature Selection for Bonesis framework (see experience section)
AI based web-wrapper for web-content-extraction
Implementing an end-to-end tweets data warehousing pipeline.
distributed pandemics simulator, uses the power of spark to generate huge bulks of contact-tracing data.
Simple Implementation of Tracking the untrackable paper
VNS-SOLVER : implementation of the VNS meta-heuristic using the C programming language
a DSL name lion based on pandas that is supposed to make your cleaning data cycle easier
fraud detection on the paysim dataset, with the use of VAE to perform data-augmentation and BNN to classify the datapoints.
Forcasting covid19 deaths
Building a wildlife ontology using conceptual graphs
PSP (payment service provider)
interscholastic collaboration platform prototype
an ERP accounting module