I design and deploy architectures Edge AI to process and analyze your data. directly on site or on your connected devices. Each solution is designed to be modular, secure and evolutionaryto meet complex technical environments and specific business needs.
Microservice design and REST/GraphQL APIs, orchestrated for seamless integration with your existing systems and IoT infrastructures.
Deploy models optimized for local execution via TensorFlow Lite, ONNX Runtime or PyTorch Mobile, with version, performance and endpoint management.
Use MQTT, Kafka, Redis Streams and WebSockets to manage events, sensors and instant interactions, even in low-connectivity environments.
Implementation of strong authentication, rate limiting, end-to-end encryption, audit logging and protection against abuse or intrusion.
Leverage state-of-the-art AI frameworks (Hugging Face Transformers, PyTorch, TensorFlow) and optimize for the Edge (quantization, pruning, compilation) to guarantee maximum performance with a small footprint.
This approach allows me to deliver solutions Reliable, maintainable and production-ready Edge AIwhile remaining aligned with your strategic objectives and operational constraints.
Creation of intelligent architectures, APIs, conversational agents, recommendation systems
Integration of models such as GPT, LLaMA, Mistral, Claude, etc. into business workflows
Adaptation of pre-trained models to specific corpora, supervised or reinforcement training
Design and training of deep learning models (CNN, RNN, Transformers) & machine learning (Random Forest, Scikit-Learn) for complex cases
Combining documentary research and generation for precise, contextualized answers
Design and deployment of modular, secure local AI architectures capable of processing data directly on the device
Containerization, CI/CD, monitoring, scalability, model security in production
Consultant specializing in the development of solutions based on theartificial intelligencethe language models (LLM) and neural networks.
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