A complete machine learning pipeline to download / scrape, process, and analyze millions of Youtube data to train a model to predict dislikes and alert the user if a video is potentially probelmatic through a webapp that can process submitted videos.

A study of over 1.2 billion raw twitter posts, amazon reviews, and reddit posts utilizing sentiment and keyword analysis to discover important themes each platform focuses their attention on.

We built a machine learning pipeline utilizing both supervised and unsupervised learning to classify sentences into whether or not they require simplification. Our fine-tuned BERT model scored 77.6% on the test set, claiming second place in the associated Kaggle competition.

I was a core team member to launch Ejawda.com, a new e-commerce platform for the industrial sector in the GCC region. This involved providing analytical and project management support to align all stakeholders and team members to meet our milestones on-time and within our budget.

I was a core team member to implement a new enterprise resource planning solution (Odoo). This includes working with stakeholders, partners, and developers to implement all necessary modules, as well as set up corporate dashboards and other features. This has greatly enhanced our organizational efficiency.

I helped plan and implement the construction of a new manufacturing facility for Sherbiny that hosts our fluid handling and life safety manufacturing capabilities. My involvement included feasibility studies, analysis, and overall project management support.

I designed and developed the website for Sherbiny, a leading provider of premium industrial solutions. The development comprised the full-stack including the backend CMS using Strapi, the frontend using React / Gatsby, as well as the server deployment infrastructure.

I created a minimalist timer that is better for developers that uses JSON to store meeting templates to allow for hot swapping between different meeting structures by just editing text files that I can maintain. The timer largely is built using React for smooth client-side actions.

Tweetviewer is a minimalist twitter client that quickly gives you the latest 10 tweets of any user that you search for. The app was built using chatGPT, a large language model by OpenAI, as a personal test of how AI models can aid development. It uses a python / flask script that accesses the Twitter API.