Chaimae Aboulouafa

At Fingreen AI, I built and deployed advanced LLM-based solutions to automate data analysis and enhance ESG intelligence. I led the development of a RAG (Retrieval-Augmented Generation) evaluation pipeline using Ragas, enabling performance tracking of knowledge-augmented responses. I also contributed to the continued pretraining of LLMs to better adapt models to the ESG domain. My work bridged MLOps practices and AI research, integrating Dockerized pipelines, CI workflows (GitHub Actions), and cloud-native deployment (GCP) to build production-ready, intelligent systems.

At Valeo, I contributed hands-on to the automation of the CI/CD pipeline, enhancing software engineering productivity and accelerating the delivery of cutting-edge in-vehicle technologies. I designed and deployed a full cross-cloud pipeline, transferring Jenkins CI logs from AWS to GCP, enabling scalable storage and analysis. I developed an automated Jenkins log analysis pipeline, leveraging Cloud Functions and Vertex AI to classify errors and detect root causes using machine learning models. This system helped shift from manual troubleshooting to intelligent, proactive diagnostics, significantly reducing debugging time and improving CI/CD reliability.

analyse et visualisation des données des ventes et du CA , création des Dashboard

Skills: Gestion d’équipe · Gestion des ventes · Gestion du temps · Prise de décision · Formation au pilotage

Réalisation d'une application Desktop Anomaly Tracking , afin de poursuivre les anomalies arrivants lors de la fabrication des volants de véhicules.