Fares Slimane is a Senior Machine Learning Engineer based in Montreal with 9 years of experience building and deploying production-grade AI across speech recognition, computer vision, and embedded platforms. He has driven measurable impact—designing a wakeword architecture that cut model size by 55% and reduced flops while maintaining strong robustness across accents and noisy conditions. His background spans research and product: from sign-language recognition research at UQAM to real-world biometric and object-tracking systems with low-latency anti-spoofing protections. Comfortable taking models from novel academic algorithms to optimized embedded deployments (HIFI, Syntiant), he combines deep research instincts with pragmatic engineering for constrained hardware. He also brings early-stage startup experience as Founder in Residence and a track record of turning applied ML prototypes into reliable, market-ready solutions.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at UQAM | Université du Québec à Montréal
Licence, Computer Science, Licence, Computer Science at Institut Supérieur des Technologies de l’Information et de la Communication
Arabic, English, French, Italian, sign languages (asl)
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