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Senior Data & AI Engineer
Senior Data & AI Engineer with 10+ years of experience delivering data platforms, cloud architectures, and AI/ML solutions. I’ve had the opportunity to collaborate with great companies, including Sanofi, Air Liquide, Disneyland Paris, ManoMano, LegalPlace, and others. Over the years, I have architected and implemented data platforms on AWS from scratch and deployed end-to-end data pipelines and machine learning solutions in production. Key Skills: • Cloud data platforms: AWS, Snowflake, Redshift • Data Engineering: Spark/PySpark, Airflow, Kafka, dbt, Data Modeling • MLOps: Docker, GitLab CI/CD, Terraform, CloudFormation, SageMaker, Lambda, Step Functions, ECS • Machine Learning & NLP: LLMs (RAG, Transformers), PyTorch • Mentorship & knowledge sharing: DeepLearning.AI mentor, YouTube/LinkedIn Live
National School of Computer Science and Applied Mathematics of Grenoble
M2 Masters of Science in Informatics at Grenoble (MOSIG), Data Science
January 1, 2016 – January 1, 2017
Université Grenoble Alpes
M1 Masters of Science in Informatics at Grenoble (MOSIG), Computer Science
January 1, 2015 – January 1, 2016
Alexandria University
Bachelor's degree, Computer Systems and Engineering
January 1, 2007 – January 1, 2012
Sanofi
Senior Data & AI Engineer
December 1, 2025 – April 1, 2026
Paris · Hybrid
Air Liquide
Senior Data Engineer
September 1, 2025 – December 1, 2025
Paris · Hybrid
DeepLearning.AI
Mentor
June 1, 2025 – October 1, 2025
Remote
Air Liquide
Senior Data Engineer
November 1, 2022 – March 1, 2025
Paris, Île-de-France, France · Hybrid
Disneyland Paris
Senior Data & MLOps Engineer
June 1, 2022 – November 1, 2022
Chessy, Île-de-France, France · Hybrid
ManoMano
Senior Data Engineer
November 1, 2021 – May 1, 2022
Paris, Île-de-France, France
LegalPlace
Data Engineer
May 1, 2020 – October 1, 2021
Hybrid
LegalPlace
MLOps & Machine Learning Engineer
May 1, 2019 – May 1, 2020
Hybrid
Entrepreneur First
Paris 1st Cohort Member
September 1, 2018 – March 1, 2019
Paris Area, France
Dolead
Machine Learning Engineer
February 1, 2018 – August 1, 2018
Paris Area, France · On-site
LIMSI
Machine Learning Research Intern
March 1, 2017 – August 1, 2017
Paris Area, France
Inria
Machine Learning Research Intern
February 1, 2016 – September 1, 2016
Grenoble Area, France
Valeo
Software Engineer
March 1, 2013 – September 1, 2014
Cairo Governorate, Egypt
M-Systems
Co-Founder and Verification Engineer
January 1, 2012 – December 1, 2012
Alexandria Governorate, Egypt
HDMI 1.4 OVM based stimulus generator
July 1, 2012 – Present
In this project we worked to make OVM based verification stimulus generator for HDMI 1.4a.
OVM Based Methodology for testing DDRx Memory protocol
November 1, 2011 – June 1, 2012
Graduation Project, Sponsored by Mentor Graphics. Developing innovative OVM(Open Verification Methodology)-environment to support testing of DDRx Protocol Memory models and verify its operation on ModelSim/Questa using verification techniques such as assertion based verification, coverage driven verification and randomization models.
H.264 Video Encoder/Decoder
July 1, 2011 – August 1, 2012
Design and Implement H.264 Video Encoder/Decoder compression technique on FPGA virtex 5 using Verilog, and Java SE for simulation. - CAVLC: is an entropy coding which is lossless compression technique with a unique prefix-free code. - Transformation and Scaling: using integer transformation like Discrete Cosine Transform without any floating point operations. - Intra Prediction: form a residual by subtracting the macroblock from its neighbors.
Efficiently Serving LLMs
DeepLearning.AI
June 24, 2026 – Present
Efficient Inference with SGLang: Text and Image Generation
DeepLearning.AI
June 24, 2026 – Present
Pretraining LLMs
DeepLearning.AI
June 24, 2026 – Present
How Transformer LLMs Work
DeepLearning.AI
June 24, 2026 – Present
Finetuning Large Language Models
DeepLearning.AI
June 24, 2026 – Present
Retrieval Augmented Generation (RAG)
DeepLearning.AI
June 24, 2026 – Present
Knowledge Graphs for RAG
DeepLearning.AI
June 24, 2026 – Present
DeepLearning.AI Data Engineering Professional Certificate
DeepLearning.AI
June 24, 2026 – Present
Neo4j & LLM Fundamentals
Neo4j
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from embedded systems to advanced AI/ML and data engineering, demonstrates adaptability and a broad technical interest. Their continuous learning through certifications in LLMs and RAG indicates a proactive approach to staying current with industry trends. However, the majority of recent experience is heavily skewed towards Data Engineering and MLOps, with specific NLP roles being less recent (2019-2020). While the target role is NLP Engineer, the candidate's recent focus might require a re-orientation towards pure NLP research/development rather than data infrastructure for NLP. The projects listed are also quite old and not directly relevant to modern NLP.
Soft Skills & Operational Fit
The candidate's experience as a mentor and tech lead suggests strong communication and leadership skills. Their work on data quality best practices and collaboration with business units indicates an ability to operate effectively within a team and influence operational improvements. The entrepreneurial experience also points to initiative and problem-solving capabilities.