Saâd QACIF
MIT IAP Course contributor - Generative & Visual AI @ MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
About
I'm an artificial intelligence student, deeply passionate and enamored with mathematics. To me, each equation is an invitation to explore the infinite possibilities, each algorithm a puzzle to be solved with precision and rigor. My fascination with artificial intelligence knows no bounds, and I am constantly driven by the desire to understand its most intricate mechanisms. Intellectual challenges are my playground, where I thrive, always ready to push my own boundaries to innovate and contribute to this ever-evolving field.
Morocco
Rabat
Information Technology & Services
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Experience
MIT IAP Course contributor - Generative & Visual AI
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Boston, Massachusetts, États-Unis
Attended lectures and actively contributed to workshops and project work in the MIT IAP course Foundations & Frontiers of Generative and Visual AI, taught by Professor Manolis Kellis, leading applied projects focused on generative and visual AI, multimodal embeddings, knowledge graphs, and agentic workflows through hands-on research-level system development.
Research Assistant
Mantis AI
Boston, Massachusetts, États-Unis
Developing an AI platform with 30+ researchers that transforms complex datasets into interactive cognitive maps.
Intern
Marsa Maroc
Casablanca, Casablanca-Settat, Maroc
ContainerVision – Automatic recognition of container information (container code and seal) using computer vision
Intern
Marsa Maroc
Casablanca, Casablanca-Settat, Maroc
Predicting the arrival of container ships at the port of Casablanca and forecasting the number of containers to be imported.
Education
Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
Relevant courses: • Machine Learning, Deep Learning, Computer Vision: Implementation of several ML algorithms to solve various problems (⚙️ PyTorch, TensorFlow, Pandas, Jax, Numpy) • Probability, Markov Chains, Linear and convex optimization, Stochastic process, Scientific computing: High-level mathematical courses with an in-depth part on solving complex theoretical problems • Statistics, Data analysis: Advanced course on techniques of data analysis and theoretical aspects of statistics (⚙️ R) • Advanced programming, Data structures: Java/C++ programming and algorithmic courses with a lot of practical work (⚙️ Java/C++)
CPGE - Classes préparatoires aux grandes écoles
Intensive post-secondary program preparing for the competitive entrance exams to the Grandes Écoles. Major: Mathematics,Physics and Engineering Sciences.
Saâd QACIF's Contact Information
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