Yousef Al Rawwash | Software Developer

Hi, I'm

Yousef Al Rawwash.

A

Self-motivated, proactive programmer with a passion for tackling intricate real-world challenges and an insatiable curiosity.

About

I am an Engineering Science student in the Machine Intelligence specialization. I am currently working as a part-time full stack developer, where I have accumulated front and back-end experience. I am also involved in research where I pioneer Cython to allow Python coded ML scripts to be run at C++’s computational efficiency (up to 800x faster). I am always eager to learn and develop my portfolio.

Languages: C, C++, Java, Python, Cython, HTML, CSS, JavaScript, SQL, Verilog, RISC-V Assembly
Libraries: NumPy, Pandas, PyTorch, TensorFlow, Scikit-learn, nltk, keras
Frameworks: Dash, Plotly, openMP, speech recognition, pydub, Express.js, React, Node.js, JSON, MongoDB

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Sales Dynamics

Full Stack Developer

Leveraging proficiency in front-end and back-end development to revamp Sale’s dynamics website.
Contributing to database design and management using SQL and NoSQL, enhancing data security and efficiency.
Independently delivering top-tier code to enhance app performance and user experience.
Technologies: HTML, CSS, JavaScript, MongoDB, Express.js, React, Node.js, Agile, GitHub, SQL, NoSQL, Linux API

June 2023 - Present | North York, ON

University of Toronto

Software Engineering Research Assistant

Pioneering the utilization of Cython to bridge Python-based machine learning models with existing C++ libraries, establishing a seamless pipeline for model training and inference.
Developing robust testing frameworks that covered both the machine learning models in Python and the C++ components, ensuring an overall system accuracy of 99.7%.
Leveraging C++’s computational efficiency, to achieve up to 800x speed improvement in ML model training.
Developed an interactive web application modelling major trends in the simulation and allowing for Data Visualization, of 500,000 persons over 30 days for 10 simulations.
Technologies: C++, Cython, Python, openMP, MPI, Dash, Plotly, CSS, JSON, pandas, NumPy, Bootstrap, Linux API

May 2023 - Present | Toronto, ON

UofT Formula Racing Design Team

Embedded Software Developer

Implementing a program to help the vehicle to move to its next position using C++.
Simulating the car using FSSIM simulator and gained knowledge in using ROS elements.
Developing firmware for controllers and working with CAN protocol.

January 2023 - Present | Toronto, ON

Qatar Steel

Cyber Security Analyst Intern

ISO27001 implementation and maintenance over 114 controls complying with GDPR and NIS regulations.
Applied a centralized logging system, SIEM, with the help of big data analytics and machine learning algorithms to gain security insight and protect against 10,000+ daily cybersecurity threats.
Utilized the OSI model to secure all levels of the LAN protecting 200+ users with 0 major attacks.

June 2022 - August 2022 | Doha, Qatar

Projects

Multimodal Sentiment Analysis

A deep learning detection system.

Accomplishments

Developed a sentiment detection system targeting diverse sources like news headlines and audio recordings to discern public perception, influencing sectors from finance to public relations.
Utilized LSTM model, achieving ∼97% accuracy for unseen data across datasets totaling > 2.1 million values.
Technologies: TensorFlow, PyTorch, scikit-learn, nltk, pandas, keras, matplotlib, speech recognition, pydub

2048

A replica of the popular 2048 game

Accomplishments

Achieved highly optimized code, ensuring smooth gameplay on various devices, reducing memory usage by 25%.
Conducted rigorous testing and debugging, resulting in a flawless, error-free game, demonstrating meticulous attention to detail and quality assurance skills.
Technologies: Python, PyGame, tkinter, GUI, NumPy, collections, os, itertools, sys, time, Windows API