Abdelhaq Guartet

Data & AI activities (advanced technical projects)

• • Design of data processing pipelines under Python/Linux

• • Development of real-time Data Engineering architectures (Kafka, Spark, Airflow)

• • API development under FastAPI and Docker containerization

• • Implementation of distributed ETL chains for sensor/weather data

• • Experiments around LLMs, RAG, Vector DB and decision support systems in computer science & artificial intelligence

• • Private tutoring and student support in Python, Data Science, Machine Learning

• • Introduction to Linux, Git, Docker environments and Data best practices

• • Supervision of Data/AI mini-projects (classification, pipelines, API) Tools: Python, Linux, Docker, Spark, Kafka, Airflow, FastAPI, MongoDB, Git

• • Design and implementation of an ETL pipeline

• • Development of Python/Spark scripts for large-scale data processing and transformation.

• • Optimization of SQL queries to improve data extraction and analysis performance.

• • Development of an AI Agent based on LLM + RAG for technical incident analysis from technical PDFs and SQL data. Tools: Python, Spark, SQL, AWS, CRM platform, LLM

• • Development of a data extraction pipeline for optical flow analysis

• • Design and implementation of a CNN autoencoder for pixel orientation detection

• • Optimization and automation of the training process with Keras/TensorFlow for comparative evaluation Tools: Python, CNN, keras, TensorFlow, autoencoder