Mohammed Amin Belarbi

Expert in Machine Learning and Deep Learning, specializing in Large Language Models (LLMs). Skilled in training, fine-tuning, and deploying models with PyTorch and Hugging Face, including private LLMs on custom datasets.

Designed and deployed end-to-end DeepStream video analytics pipelines for truck detection and tracking, container classification, and material identification. Optimized inference using TensorRT, CUDA, and custom C/C++ modules on NVIDIA Jetson devices.

Designed and built end-to-end data pipelines using Azure Functions, Azure Container Jobs, Azure Event Hub, and Service Bus, processing 1M+ messages per day in real time. Developed Python microservices for data enrichment and synchronization with HubSpot and Odoo.

Designed and developed a production-grade C++ audio recording application with low-latency processing pipelines. Implemented Kafka-based real-time event streaming and built Docker Swarm clusters with secure secret management.

Led ML/DL teams and delivered full-cycle solutions for video analytics and edge computing. Developed SDI IN/OUT protocol for football matches using deep learning for real-time player and ball segmentation.

Researched Deep Learning, Big Data, and Computer Vision. Developed scalable AI systems, evaluated energy efficiency, and published for academic advancement.

Delivered academic courses and practical labs in computer science and artificial intelligence. Participated in curriculum development and student mentorship.

Managed and maintained database systems (SQL and PL/SQL over Oracle).

Managed and maintained database systems (Oracle).

Activities and societies: Writing and publishing scientific articles; developing deep learning models; image processing on BigData.

PhD in Machine and Deep Learning. Published scientific articles and developed deep learning models using TPU and CUDA frameworks.

Activities and societies: Indexing videos and images on BigData; image processing; energy consumption analysis; writing and publishing scientific articles.

PhD in Machine and Deep Learning. Focused on image indexing and processing on BigData, energy consumption of algorithms, and deep learning model development.

Activities and societies: Database management SQL, PL/SQL and NoSQL.

Master of Engineering in Information System. Studied database management including SQL, PL/SQL, and NoSQL.

Bachelor of IT and Graphic Design. Completed undergraduate studies in information technology and graphic design.

Completed a certification in Machine Learning: Learning Algorithms.

Completed a certification in C++: Creation of a String Library.

Completed a certification as a C++ Developer.

Completed a certification in Understanding the Creative Process in Five Steps.

Completed a certification as a Python Developer.

Completed a certification in Discovering Data Science with Python.

Completed a certification in Discovering Python 3.