Mohammad Al-Robaie
Software Engineer at Gateway Auto- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
Arabic Native or bilingual proficiency
-
English Native or bilingual proficiency
Topline Score
Bio
Experience
-
Gateway Auto
-
United States
-
Consumer Services
-
1 - 100 Employee
-
Software Engineer
-
May 2023 - Present
Testing HTTP requests on Postman, making API calls in cURL, JavaScript (node-fetch), fetching data from cloud-based shop management systems (Tekmetric, CCC Secure Share), using custom methods to manipulate & store JSON data. Setting up a Heroku server & using Git commands to deploy scripts, connecting APIs to enhance customer dashboard. Consulting software engineers, attending weekly standups, contacting API companies to resolve recurring tech issues. Testing HTTP requests on Postman, making API calls in cURL, JavaScript (node-fetch), fetching data from cloud-based shop management systems (Tekmetric, CCC Secure Share), using custom methods to manipulate & store JSON data. Setting up a Heroku server & using Git commands to deploy scripts, connecting APIs to enhance customer dashboard. Consulting software engineers, attending weekly standups, contacting API companies to resolve recurring tech issues.
-
-
-
University of Nebraska-Lincoln Chemical & Biomolecular Engineering
-
United States
-
Higher Education
-
1 - 100 Employee
-
Machine Learning Researcher
-
Jan 2023 - May 2023
Utilizing machine learning environments (Python, Tensorflow, Keras, etc) to analyze a dataset of over 50,000 RNA sequences, aiming to find patterns to predict the reactivity of certain DNA strands obtained by lab experiments. Enhancing performance of the prediction algorithm on experimental data, hyperparameter optimization, & running fine tuned models (RNNs, LSTMs, etc) on GPUs (Crane, Google Collab, DeepNote), presenting findings & data visuals during bi-weekly standups. Utilizing machine learning environments (Python, Tensorflow, Keras, etc) to analyze a dataset of over 50,000 RNA sequences, aiming to find patterns to predict the reactivity of certain DNA strands obtained by lab experiments. Enhancing performance of the prediction algorithm on experimental data, hyperparameter optimization, & running fine tuned models (RNNs, LSTMs, etc) on GPUs (Crane, Google Collab, DeepNote), presenting findings & data visuals during bi-weekly standups.
-
-
-
University of Nebraska-Lincoln College of Engineering
-
United States
-
Higher Education
-
1 - 100 Employee
-
Teaching Assistant
-
Aug 2022 - May 2023
Teaching a 30-student Computer Science I lab section for CSCE 155N (MATLAB), holding weekly office hours to help students with coding assignments (debugging, grading homework, etc), providing feedback and guidance for students to help solve engineering problems simulated in MATLAB Teaching a 30-student Computer Science I lab section for CSCE 155N (MATLAB), holding weekly office hours to help students with coding assignments (debugging, grading homework, etc), providing feedback and guidance for students to help solve engineering problems simulated in MATLAB
-
-
-
The Better Ethics and Consumer Outcomes Network (BEACON)
-
United States
-
Technology, Information and Internet
-
Software Engineer
-
Oct 2021 - May 2022
Built a headless Chromium based browser program using Puppeteer Node.js to evaluate legal agreements, collect data, then automatically populate the company's research team database; consulted engineers to optimize code efficiency. Developed marketing automations for BEACON social media & newsletter, via Airtable & Zapier. Built a headless Chromium based browser program using Puppeteer Node.js to evaluate legal agreements, collect data, then automatically populate the company's research team database; consulted engineers to optimize code efficiency. Developed marketing automations for BEACON social media & newsletter, via Airtable & Zapier.
-
-
Education
-
University of Nebraska-Lincoln
Bachelor of Science - BS, Computer Science -
North Star High School
High School Diploma, August 2017