About Me



πŸ‘‹ Hey there! I'm Amgad Elgamal, a third-year Software Engineering student at McGill University, with eyes set on graduating in 2026. My journey is fueled by the mesmerizing world of coding, the depths of algorithms, and of course, β˜• a whole lot of coffee.

πŸ” This summer, I had an incredible stint at Google. There, I crafted an open-source Google Chat App SDK, sprinkled with generative AI magic using Vertex AI and Dialogflow CX. I also engineered a nifty Node.js app to effortlessly add apps to multiple Google Chat spaces. These projects were not just about coding but also about learning, testing, and deploying using Google Cloud Functions.

πŸ“Š Before Google, I tackled challenges at Ericsson as a Machine Learning Intern. Leading a Mesa-based Multi-Agent Modeling project, I boosted model accuracy by 16%, crafted ML agents in Python, and mastered the art of MLOps with Azure. It was all about making things smarter and faster.

πŸ’Ό My journey also took me to the University of Sherbrooke, where I worked on a fascinating medication deprescription study. Imagine processing 300 million JSON and CSV files! I extracted key medication metrics using Python's Pandas and NumPy, and deployed LSTM models with TensorFlow and Keras to predict physical activity patterns. It was data science at its finest.

πŸš€ Beyond the code and data, I'm deeply involved in the McGill Egyptian Student Association, where I served as President. We celebrated our culture, planned events, and created a close-knit community on campus. Outside the tech world, you'll find me at hackathons, navigating micro-mice mazes, or just dreaming about the next big thing in tech.

πŸ“‚ That's just a glimpse into my journey! I'd love for you to explore my portfolio and dive deeper into the projects that have defined my academic and professional trajectory.

  • May 2024 - August 2024
    STEP Intern at Google
  • January 2024 - May 2024
    Machine Learning Intern at Ericsson
  • May 2023 - August 2023
    Data Science Intern at UniversitΓ© de Sherbrooke
  • August 2022 - April 2026
    BEng in Software Engineering Co-op at McGill University
  • January 2020 - January 2022
    DEC in Health Sciences at Champlain College
  • Web Development
    Web app Development
  • Data Science
    Data Analysis & Machine-Learning

Skills

Web Design

Offering bespoke web design services, I focus on creating intuitive, user-friendly interfaces. Combining aesthetic appeal with functionality, I ensure your website not only looks great, but also optimizes user engagement and drives results.

Data Analysis

Specializing in data analysis, I extract valuable insights from complex datasets. By transforming raw data into meaningful information, I empower your business to make data-driven decisions and optimize performance.

Machine-Learning

Leveraging the power of machine learning, I build intelligent models that learn, adapt, and improve over time. I help unlock new levels of understanding and automation for your business, pushing the boundaries of what's possible.

Portfolio

Weather Forecasting App

Cloudnerd is a machine learning based web application that predicts the weahter by scanning clouds. Give it a try below!

Lyric Recognition Web App

Shazoom is a speech recognition user interface that identifies user-sung songs and retrieves top matches. Give it a try on my GitHub below!

Diet-Based Restaurant Locator Chatbot

Jou'an is an interactive chatbot that identifies user dietry preferences and locates nearby suitable restaurants. Give it a try on my GitHub below!

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