Saud Z.

Backend Engineer

Full-time available

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Bio

Muhammad S Z is a highly technical software developer with strong expertise in Python, C, and C++, specializing in high-performance systems, optimization workflows, and applied machine learning. He has deep experience with object-oriented design, data structures and algorithms, multithreading, and numerical computing, and is comfortable working close to the system level while also building robust Python-based tooling and ML pipelines. In his role as a Process Automation Engineer at SOCO Engineers, he has automated

  • Projects completed9
  • Hourly rate
  • 3-4 years experience
  • Member since Jan 2026
Expertise
PythonBashSQLNumPyPyTorchFlask
Video Intro
Assessments

Problem Solving Assessment

Great score on Implement an LRU Cache Algorithm, Difficulty Hard · Great score on Ensuring Real-time Data Accuracy in Mobile App, Difficulty Hard · Great score on Understanding Rate Limiting in APIs, Difficulty Medium

Projects

PyDOE3

Open source contribution to experimental design package. Also see the organization https://github.com/pydoe/pydoe.

deltaFlow

Power Flow Analysis Tool using C++. Built using Eigen3 (Linear Algebra Library), Catch2 (C++ Unit Testing Library), fmt (C++ formatting library).

vonMises

High-performance eigenvalue solver using Von Mises iteration (C++, Python).

NULAPACK

NUmerical Linear Algebra PACKage (Fortran, C, C++, Python).

PyQt SIP

Python bindings generator for C++ (or Qt) libraries (C++, Python).

Labyrinth Maze

Maze analysis and traversal toolkit (C).

THNDF-PINN

Physics-Informed Neural Network for hybrid nanofluid disk flow (PyTorch).

QT QML-shader

Shader-based fluid animation (QML). Also see https://github.com/saudzahirr/Qt-playground

Undergrad Projects

Collection of coursework projects.

Experience
  1. Process Automation Engineer

    SOCO Engineers GmbHAug 2023Present
    • Automated CAE workflows using Python, Bash, and Perl scripts.
    • Developed ShapeModule, an adjoint-sensitivity-based optimization framework for BMW (C++ & Python).
    • Built OptiSense, an optimization pipeline integrating DOE, surrogate models, and neural networks.
    • Developed backend scripts for data cleaning, conversion, and visualization of engineering simulations.
    • Optimized algorithms and code for high-performance and large-scale simulations.
    PythonBashC++QtDjangoSQLPlotlyCMakeDocker
Education
  1. BE Electrical Engineering

    SEECS, NUSTH-13 Islamabad, Pakistan2019 — 2023
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