Mohamed Dyab
NLP EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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
Finetuning Large Language Models
DeepLearning.AI
June 24, 2026 – Present
Machine Learning
Coursera
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
Neo4j & LLM Fundamentals
Neo4j
June 24, 2026 – Present
Retrieval Augmented Generation (RAG)
DeepLearning.AI
June 24, 2026 – Present
DeepLearning.AI Data Engineering Professional Certificate
DeepLearning.AI
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Knowledge Graphs for RAG
DeepLearning.AI
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.