Resume

Hello, I'm Mohammad!

TypeScript

About me🙋‍♂️

Hi there, I am Mohammad Rahmeh! I'm a software engineer with a passion for building awesome things with code. I have experience working on a wide range of projects, from building full-stack web applications to developing mobile apps to implementing machine learning models. In my previous roles, I have worked at start-ups and helped them grow their software team. Currently, I am a software engineer at QuesTek, where I am helping build their materials design platform. When I'm not coding, you can find me cooking new recipes and traveling to new destinations

Me Updated

Projects💻

Image to CSS converter
Convert any image to pure CSS using box-shadows.
react
Web Development
2022
List Parser
Instantly convert text lists to arrays for JS, Python, CSV and much more.
react
Web Development
2021
Diffraction Patterns Generator
Diffraction patterns generator using 2D Fourier Transform.
react
Web Development
2021
Covid-19 Dashboard
Data dashboard for visualising covid-19 cases, with a focus on the Middle East and North Africa region.
Data Scie
Data Science
2020
Cryptocurrency Price Forecasting
Cryptocurrency price forecasting using Long short-term memory (LSTM) neural network.
Deep learning logo
Deep Learning
2020
ImageAI Website
Website for ImageAI, a SaaS API that uses deep learning to automate image editing and processing.
react
Web Development
2020
ImageAI Backend
ImageAI is a RESTful API that allows for automated image processing using state of the art deep learning models.
django-logo
API
2020
Guess The Number
The computer selected a random number- try to guess it.
react
Game
2020
Student Performance Data Analysis
Student performance exploratory data analysis and visualisation using generated data.
Data Scie
Data Science
2020
Vorticity prediction in the Gulf Stream region
Using convolutional neural networks to predict vorticity from kinetic temperature and temperature satellite data.
Deep learning logo
Deep Learning
2020
Pneumonia Diagnosis
Pneumonia diagnosis using a convolutional neural network trained on 5638 labelled x-ray images.
Deep learning logo
Deep Learning
2019
PCA of US Senators
Principle Component Analysis on US Senate voting patterns to identify clusters among US Senators.
Data Scie
Data Science
2019
2-Dimensional Diffusion using Gray-Scott Model
I perform a simulation of two chemicals (A and B) reacting and diffusing on a 2D grid using the Gray-Scott model.
Python Logo
Computational Physics
2019
3-Dimensional Diffusion using Gray-Scott Model
The Gray-Scott model is implemented in 3 dimensions.
Python Logo
Computational Physics
2019
Diffraction Patterns
I compute the Fourier transform of light intensity, where the light is going through n pinholes, diffracting and interfering on a wall.
Python Logo
Computational Physics
2019
Dispersion Relations
I model the dispersion relation of various crystal lattices by assuming that each crystal atom is coupled with its neighboring atoms by a spring.
Python Logo
Computational Physics
2019
Spherical Triangulation
I implemented two methods for triangulating a sphere: the spherical long-lat method, and the octahedron method.
Tesselation logo
Computer Graphics
2018
Rubber Physics
Implementing a collection of methods for modelling the mechanical behaviour of elastomers. I discuss and implement the 3-chain, 4-chain, and 8-chain models.
Materials Science Logo
Materials Science
2018
Spherical Model for Rubber Elasticity
I propose and implement a model for rubber elasticity, based on a spherically oriented network of polydisperse N chain.
Materials Science Logo
Materials Science
2018