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Hamza Sayah
Co-Founder at Stealth Startup, Machine Learning Engineer
Hamza Sayah is the Co-Founder and Chief Technology Officer (CTO) of Qevlar AI, a deep tech startup focused on developing innovative machine learning applications. He co-founded Qevlar AI in January 2023, where the team aims to transform security operations by automating and enhancing cybersecurity processes, moving away from traditional manual methods.12
Education and Early Career
Hamza holds a master's degree in applied mathematics, with a minor in computer science from École Polytechnique Fédérale de Lausanne (EPFL). His career began with roles in data science and machine learning, including positions at Plüm Énergie and Ponicode, where he contributed to significant advancements in software testing solutions and data-driven processes. Notably, he played a key role in Ponicode's acquisition by CircleCI.1
Professional Experience
Before founding Qevlar AI, Hamza worked as a Machine Learning Engineer at CircleCI and Visium Technologies, and he also had an internship at SpinningBytes AG, an ETH Zurich spin-off. His experiences have been instrumental in shaping his entrepreneurial journey and technical expertise in machine learning and AI.1
Achievements
Hamza has been recognized for his contributions to the field, including participating in international competitions such as the International Mathematical Olympiad and the Huawei Big Data Challenge, where he led his team to victory. He is fluent in English, French, and Arabic, enhancing his ability to collaborate in diverse environments.1
Highlights
🔥 Proud to have been part of Viva Technology on the panel "The AI Trust Gap" with Emmanuelle Rivet from PwC and Christian Keller from Meta!
We discussed the following insightful topics:
- Open-sourcing models like Llama to build trust through transparency by allowing the community to find, build, and share strategies to handle model risks.
- Making AI reliable by ensuring model quality and accuracy through rigorous testing, and building robust systems around the models.
- Ensuring human involvement in critical AI use cases to maintain oversight.
We concluded that for AI applications in critical areas, it's essential to add good friction to the user journey. This ensures proper oversight instead of blind trust in AI. This approach is at the core of our vision and product at Qevlar AI | We're Hiring!. 🚀
Huge thanks to Viva Technology and PwC for this fantastic opportunity to share and learn! 👏
In two weeks, there's an exciting event happening: Forum InCyber (FIC) - EUROPE 🌍.
If you're planning to attend, make sure to visit us at Booth F18-10 in the Innovation Village 📍. We have something special for you!
🔍 We'll be showcasing Qevlar AI, our cutting-edge technology. You won't want to miss it!
🥐 Plus, enjoy a delicious treat - pAIn au SOColat. It's a little pun we're proud of!
🎁 And there's more: you could win an exclusive prize. Trust us, it's something every security expert would want.
We're excited to meet you there! Stay tuned for more updates 🌟.
