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mtantaoui/README.md

Let's Build High-Performance Software Solutions Together! ๐Ÿš€

With a strong foundation in Python and Rust, and a passion for high-performance computing and cloud technologies, Iโ€™m dedicated to creating efficient, scalable, and innovative software solutions. My work spans from numerical computing to cloud-based architectures, always pushing the boundaries of performance and reliability. About Me

I specialize in building software that solves complex problems efficiently, combining my skills in Python and Rust with deep research into HPC techniques like CUDA programming. Iโ€™m also proficient in cloud-native development, with hands-on experience deploying scalable solutions using AWS Lambda, AWS Step Functions, and other cloud services.

What I Do

๐Ÿ Python Expertise: I leverage Python for building everything from data pipelines to automation scripts and back-end services.

โš™๏ธ Rust for Performance: Iโ€™ve developed a Rust crate for numerical integration, taking advantage of Rust's memory safety and performance optimizations. Rust's speed and concurrency features make it ideal for computationally intensive tasks.

๐ŸŒฉ Cloud-Native Development: My cloud skills revolve around designing and deploying highly available, scalable systems using AWS. Iโ€™m experienced with AWS Lambda for serverless functions and AWS Step Functions for orchestrating complex workflows.

๐Ÿš€ High-Performance Computing (HPC): My research in HPC focuses on maximizing computational efficiency using CUDA for GPU-accelerated applications. Iโ€™m constantly exploring new ways to optimize code performance, whether for machine learning models, data processing, or complex simulations.

My Goals

โœจ Continuous Learning in HPC and Rust: Iโ€™m committed to staying at the cutting edge of high-performance computing by deepening my expertise in parallel computing, distributed systems, and low-level optimizations with Rust and CUDA.

โ˜๏ธ Build Scalable Cloud Solutions: I aim to continue leveraging cloud technologies like AWS to create robust, secure, and scalable systems that can handle the demands of modern software applications.

๐Ÿ“ˆ Explore Efficient Numerical Computing: As a developer passionate about numerical computing, Iโ€™m constantly experimenting with new methods and libraries to improve the accuracy and speed of mathematical computations in software projects.

Outside of Work

When Iโ€™m not optimizing software or designing scalable cloud solutions, you might find me:

๐ŸŠโ€โ™‚๏ธ Swimming laps, as I enjoy the discipline and focus that swimming brings, helping to clear my mind and recharge for solving complex technical challenges.

๐ŸŒฑ Experimenting with hobby projects, where I enjoy testing out new programming languages or concepts.

Pinned Loading

  1. Integrate Integrate Public

    a small, lightweight crate for numerical integration written in Rust.

    Rust 96 2

  2. numpy numpy Public

    Forked from numpy/numpy

    The fundamental package for scientific computing with Python.

    Python

  3. pyo3 pyo3 Public

    Forked from PyO3/pyo3

    Rust bindings for the Python interpreter

    Rust

  4. scipy scipy Public

    Forked from scipy/scipy

    SciPy library main repository

    Python