- Tel (Mob): 07813661626
- lintern121184@gmail.com
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Languages I prefer developing with: C, Modern C++ and Fortran. However, I've got a decent amount of experience using MATLAB & Python from my time working in the Oil & Gas and HR/Retail Analytics industries.
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Machine Learning (Fluid Dynamics). E.g. Application of Deep Learning Algorithms/Methods for replacing or augmenting Conventional Numerical Solvers in Fluid Dynamics.
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Machine Learning (Natural Language Processing). I've used this in a couple of jobs and it proved to be very informative. E.g. I used Sentiment Analysis while working at Tesco to understand customer opinions of Tesco products.
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Computational Science.
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Scientific Programming: E.g. Modelling and Simulation of problems in Fluid Dynamics & the Physical Sciences.
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viscousRiver: a Modern C++ solver for modelling a Viscous Fluid flowing through a Channel. Makes use of the Finite Element Method (FEM) and the Eigen Template Library (Eigen) for the Algebra. Currently refactoring the software to make it more modular; its all in 1
main.cpp
source file. -
Parallel_Linear-Solvers: Project done. Currently experimenting with plotting tasks.
Some projects I'm quite chuffed of.
- Application of the Shallow Water Equations to Problems in Oceanography & Planetary Atmospheres. This software has been used by a chap in China for his Ph.D in Hydrogeology. Please ask for information on the details of his Ph.D and its use.
- Navier-Stokes Equation Solver for 2D Open Channel Flow.
- Application of the U-Net Convolutional Neural Network to Classify Salt and Sediment Structures in Oil & Gas Reservoirs.
- viscousRiver; A Modern C++ Solver which uses the Finite Element Method and the Eigen Template Library to Model a Viscous Liquid Flowing through an Open Channel/River.