Rachid
Nait Said
I engineer high-performance Deep Learning pipelines, robust RAG systems, and enterprise infrastructure that optimize complex data challenges and significantly scale intelligent decision-making.
Tech Stack

I engineer high-performance Deep Learning pipelines, robust RAG systems, and enterprise infrastructure that optimize complex data challenges and significantly scale intelligent decision-making.
Tech Stack
"The difference between a coder and an architect is the range of their toolkit."
Orchestrating high-parameter models with a focus on RAG pipelines and transformer-based architectures.
Expertise in RAG Systems, Deep Learning, NLP, and Computer Vision using Python, TensorFlow, and PyTorch.
Building scalable systems with React, Next.js, FastAPI, Laravel, and robust APIs.
Data pipelines, SQL/NoSQL databases, and manipulating data with Pandas and PySpark.
"Innovation is the transition from a specialized solution to a universal standard."

API for emotional recognition using a CNN model trained with TensorFlow and facial detection via OpenCV. Orchestrated a prediction pipeline with FastAPI and robust CI/CD.

Platform enabling HR teams to anticipate employee departures and improve retention. Combines an interactive analytical dashboard with an AI engine capable of predicting attrition risk.

Advanced time-series forecasting model using LSTMs to predict Bitcoin price movements. Features a real-time analytics dashboard with technical indicator integration.

Complete batch NLP pipeline to automatically classify IT support emails. Integrated using Machine Learning and modern MLOps practices.

An advanced Retrieval-Augmented Generation (RAG) assistant designed for enterprise knowledge bases, scaling intelligent query responses.

Intelligent pipeline utilizing native containerization and Azure cloud services to orchestrate and scale advanced machine learning workflows.
A neural pathway of structural engineering, deep learning, and scalable systems operations.
Integration of an AI-powered travel guide solution utilizing OpenAI's LLM and TTS (Text-to-Speech) APIs to create interactive, voice-driven navigation and assistance for tourists.
Intensive training in AI and Data Science, focused on developing Machine Learning and Deep Learning models, data manipulation, and an introduction to MLOps best practices.
AGADIR TRIP PLANNER: Developed a tourism platform featuring an itinerary generator. Designed an automated planning algorithm to optimize activities (Laravel/MySQL).
EVENT PLATFORM: Developed a B2B meetup management website. Implemented a complex networking module facilitating table reservations.
"Direct point-to-point encryption for strategy, partnership, or technical exploration."