Founder And Principal Scientist at Numeriworks Technologies Inc
Calgary, Alberta, Canada
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Summary
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Senior
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Top School
Maien Hamed is a computational scientist, machine learning engineer, and founder with 11 years of experience building production-grade systems that marry first-principles modeling with scalable ML. He has led end-to-end delivery—from nonlinear multiphysics formulations and Bayesian inference to high-performance implementations and deployed inference at Meta and in industry roles. Maien specializes in problems where standard tools fail: ill-conditioned models, coupled physical-statistical systems, and high-dimensional inference under real-world constraints. He contributes to open-source scientific computing (notably performance and analytical differentiation work in the deal.II finite element library) and brings hands-on numerical insight to system design and robustness. Based in Calgary, he blends a PhD in mechanical engineering and advanced applied math to create explainable, extensible solutions that prioritize long-term behavior over short-term metrics. Colleagues turn to him for integrating physics, probabilistic reasoning, and learning into coherent, production-ready systems.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Mechanical Engineering, Doctor of Philosophy (PhD) Mechanical Engineering at University of Cape Town
Master of Science (MSc) Applied Mathematics, Master of Science (MSc) Applied Mathematics at Nelson Mandela University
The development repository for the deal.II finite element library
Role in this project:
Back-end Developer
Contributions:18 commits, 22 PRs, 83 comments in 1 month
Contributions summary:Maien focused on enhancing the deal.II finite element library by modifying and optimizing its computational aspects. Their primary contribution involved refactoring hessian calculations, switching from numerical to analytical differentiation techniques, and making corresponding code adjustments in `fe_poly.templates.h` and `fe_poly.cc`. Furthermore, the user added new functionalities to the mapping classes by enabling the transformation of higher-order derivatives (Tensor<3> and DerivativeForm<2>). These changes aimed at improving performance and expanding the library's capabilities for advanced finite element computations.
Contributions:128 pushes, 33 branches, 1 comment in 10 months
dealfinite
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Maien Hamed - Founder And Principal Scientist at Numeriworks Technologies Inc