I’m a Machine Learning engineer at Quicktext, where we're pretty much at the top of our game when it comes to AI in the hospitality sector. We're the brains behind Velma, the innovative virtual assistant.
I'm all about coding away with a cup of coffee until the early hours of the morning rather than waking up with sufficient sleep. I prefer to focus on creating the best products possible instead of just launching something. I believe in well-thought-out planning, logical outcomes, and pure hard work instead of "chasing my dreams". In a nutshell, I'm all about getting things done.
I grew up on the internet and started coding at 15. After completing my degree in Software engineering (Licence) in 2022, I joined the Quicktext team specializing in developing end-to-end Machine Learning systems. Currently residing in Sousse, I also enjoy creating helpful side projects in my spare time.
⚡ Work experience:
- Machine Learning Engineer at Quicktext [Sousse, Tunisia / July 2022 - Present]
📝 Internships:
- Data Science intern at Quicktext [Sousse, Tunisia / February 2022 - July 2022]
- Software Engineering intern at Whitecape Technologies [Sousse, Tunisia / Summer 2021]
- Software/Computer Vision Engineering intern at Enova Robotics [Sousse, Tunisia / Summer 2020]
🔭 Recently finished project (I'm always open to new opportunities and Open Source projects to contribute to):
- Autoactivator: A system package that automatically activates Python virtual environments based on project directories.
🎓 Education:
- I am currently pursuing an Engineer's degree in Computer Science from Ecole Polytechnique Sousse. Additionally, I completed a Bachelor's degree in Software Engineering and Information Systems at the same institution from September 2019 to July 2022, achieving a Cumulative GPA of 3.7/4.0 and receiving the Top of the Class Student Award.
📫 You can visit my website, reach me by e-mail or connect with me on LinkedIn.