Summary
Nacer Sebti is a bilingual software engineer with 8 years of experience building production-grade systems across fintech, cloud, and e-commerce at firms like Morgan Stanley, AWS, and Instacart. He blends applied AI research—having implemented WaveGANs for speech enhancement and trained neural agents to drive in TORCS—with hands-on backend and API production work, including shipping a real-time flight-demand platform to airlines. Comfortable across the stack, he has delivered mobile apps, REST APIs, and CRM systems while writing technical architecture and operational documentation. His background in AI & Robotics (MSc) and in BI & Data Science (INSEA) enables him to bridge research concepts and pragmatic engineering. Known for rigorous programming and self-directed learning, he brings a researcher’s curiosity to high-velocity product teams. Based in Old Toronto, he thrives on turning ML prototypes into reliable services at scale.
8 years of coding experience
4 years of employment as a software developer
High School Preparatory Classes, Mathematics and Physics, High School Preparatory Classes, Mathematics and Physics at Groupe Scolaire La Résidence
Engineering Diploma, BI & Data Science, Engineering Diploma, BI & Data Science at Institut National de Statistique et d'Economie Appliquée (INSEA)
Master of Science, Artificial Intelligence & Robotics, Master of Science, Artificial Intelligence & Robotics at Université de Sherbrooke
French, English, Spanish, Arabic