Engineering @ Root | Powering climate-neutral food 🍎💨 | Engineering solutions that shape the future.
Remember that kid who turned the classroom into a tech lab? Now channeling that same energy as a Software Engineer, building the future one code at a time.
A software engineer at Root Global, I'm a full-stack development ninja with a particular talent for wrangling backend systems. I am passionate about machine learning and love sharing my knowledge by writing articles online. And let's not forget – My team and I won Google's prize at Orange Summer Challenge 2022 (no big deal, just saying) after interning for 4 months at Orange Tunisia.
I believe in going the extra mile – not just because it's the right thing to do, but also because it's where the magic happens. As a creative problem solver, I'm never satisfied with the status quo. I'm always looking for ways to push the envelope, find new solutions to old problems, and make the world a better place – one line of code at a time.
And when I'm not saving the world (or at least trying to), you can find me indulging my passion for all things automotive. I'm a huge Formula One fan and love watching races whenever I can. And speaking of movement – did I mention that I'm also a bachata dancer? Yes, I am a bachata-dancing software engineer. I love the challenge of learning new styles and techniques, and I'm always up for a good dance-off (or code-off, for that matter).
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Root is the enterprise sustainability platform for the food and beverage industry. Europe’s leading dairy, meat, and crops processors trust our software to measure, verify, and reduce farm-level emissions at scale. Our mission is to provide the decarbonisation infrastructure for the entire value chain. Among the early engineers at Root, helping build and scale systems that empower the production of carbon-neutral food, and contributing to the design and launch of the company’s carbon calculator 🚀. Highlights: - Built and maintained scalable web apps using NestJS and Next.js, ensuring high performance and reliability. - Developed a type-safe API with TypeScript, improving code quality and reducing production bugs. - Deployed ML models on Amazon SageMaker, allowing farmers to predict the emission factors of mixed feeds. Key Contributions: - Designed and built the backend foundation for Root’s carbon calculator, integrating scientific models into a scalable API for precise emissions tracking. - Architected a type-safe API with TypeScript, reducing runtime errors and improving developer experience. - Deployed and managed machine learning models using SageMaker, enabling accurate mixed feed emissions predictions. - Participated in technical architecture and scalability discussions, ensuring long-term system reliability. - Implemented best practices in CI/CD, automated testing, and API documentation (Swagger), improving developer collaboration and system maintainability. - Led cross-functional code reviews, incorporating feedback from engineers, product managers, and support teams. - Hosted knowledge-sharing sessions, mentoring engineers and fostering a culture of continuous learning and technical excellence. - Worked closely with product managers, engineers, and support teams to define and refine technical solutions that align with business goals.
• Commit to making students the best version of themselves. • Teach how to find solutions. • Organize workshops and validate Checkpoints. • Weekly follow-up and mentoring of students • Ensure weekly evaluation interviews with students. • Ensure a weekly stand-up with the students. • Ensure the smooth running of the GOMYCODE program.
Interned as a software engineer at Orange Tunisia as part of their Summer Challenge 2022. Worked on engineering the computer vision solution and developing the mobile application using Flutter. - Lead the development of a cross-platform solution that helped doctors better monitor premature babies. - The solution could help save up to 200 babies (in Tunisia) from death caused by infection or missing an alert. - Engineered a computer vision algorithm that determines heart rate through video from any camera. - Built a Flutter application that allows the medical crew to have real-time access to the KPIs provided by the computer vision algorithm.
helped me get this job • Built a mobile application that allows people to book their aesthetic care (haircuts, etc...) using Flutter • The solution started operating with 3 partners with a potential scale of over 100 customers with first partners.
Grade: 3rd Activities and societies: Google Developer Student Club Securinets Spark Club
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