Summary
Overview
Work History
Education
Skills
Websites
Interests
Timeline
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Nabil Snidi

Nabil Snidi

HPC & Scientific Computing Engineer
Guyancourt

Summary

Looking for opportunities from October 2025 to apply expertise in high-performance computing and AI to tackle complex challenges in dynamic and impactful fields.

Overview

2
2
years of professional experience
3
3
Languages

Work History

Research Engineer

Safran Tech
09.2024 - 09.2025
  • Designed and optimized parallel solvers using randomized linear algebra for solid mechanics, improving computation speed by 200% in HPC environments.
  • Implemented algorithms in Python/C++, using MPI, OpenMP, and CUDA.
  • Operated on a Linux-based supercomputer, including job scheduling, and performance profiling.
  • Collaborated with cross-functional teams to deliver high-quality research results within project deadlines.
  • Supported quantitative work with data sets.

Data Scientist

Devoteam
09.2023 - 09.2024
  • Developed ML-based anomaly detection tools (Autoencoders, SVM, Transformers) (with 95% accuracy using autoencoders) in Kubernetes clusters.
  • Streamlined data collection methods to minimize analysis errors.
  • Preprocessed logs and system metrics for predictive modeling and diagnostics.
  • I worked in a Linux-based production environment, with exposure to system monitoring and incident analysis.
  • Automated repetitive tasks using scripting languages, such as Python, significantly save time during the analytical process.

Research Engineer

UM6P - University Mohammed VI Polytechnic
06.2023 - 09.2023
  • Developed reinforcement learning algorithms to optimize UAV trajectories.
  • Improved data acquisition efficiency, and reduced operational costs under real-world constraints.
  • Modeled environmental factors (terrain, weather, battery) in decision-making logic.
  • Reviewed all documentation for accuracy, quality and compliance.

Education

Mastère Spécialisé - HPC & AI

Mines Paris - PSL University
Paris, France
10-2025

Diplôme D'ingénieur - HPC & Big Data

ENSEEIHT
Toulouse, France
10-2024

No Degree - MPSI | MP

CPGE - Classes Préparatoires Aux Grandes Écoles D'Ingénieurs
Meknès - Morocco
07-2021

Skills

Management Skills

Creativity

Critical Thinking

Leadership

Languages: Python, C, Julia, Bash, R, Java

Frameworks: Spark, Hadoop, Dask

Tools: Git, Docker, Kubernetes, CI/CD

Parallel Programming: MPI, OpenMP, CUDA, Numba, SLURM

ML/DL: Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch

HPC Libraries: BLAS, LAPACK, cuBLAS

OS: Linux, Shell Scripting

Database: SQL, relational databases (PostgreSQL, MySQL)

Interests

Emerging technologies

Tech innovation

Timeline

Research Engineer

Safran Tech
09.2024 - 09.2025

Data Scientist

Devoteam
09.2023 - 09.2024

Research Engineer

UM6P - University Mohammed VI Polytechnic
06.2023 - 09.2023

Mastère Spécialisé - HPC & AI

Mines Paris - PSL University

Diplôme D'ingénieur - HPC & Big Data

ENSEEIHT

No Degree - MPSI | MP

CPGE - Classes Préparatoires Aux Grandes Écoles D'Ingénieurs

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Nabil SnidiHPC & Scientific Computing Engineer