Moissy-Cramayel, Île-de-France, France
Eager to build a career in the dynamic fields of artificial intelligence and data science, I aspire to actively contribute to shaping the industries of tomorrow on a global scale. Driven by a strong interest in innovative topics at the intersection of technology and business, I am particularly motivated to work on projects that harness cutting-edge solutions to create real-world impact. Hard-working, curious, competitive and versatile by nature, I adapt easily to new environments and thrive on challenges that push me to grow. With proven leadership, listening skills, and strong interpersonal abilities, I constantly seek to take on greater responsibilities and deepen my commitment to meaningful, forward-looking projects.
1- Worked closely with domain experts to interpret data correctly and ensure data quality and consistency. 2- Leveraged LLMs available through AWS Bedrock to analyze and preprocess unstructured maintenance reports from multiple airline operators, enabling standardized textual data. 3- Extracted key entities such as failure types, damaged components, and maintenance actions using LLM-based NLP techniques. 4- Developed information extraction pipelines leveraging transformer models (BERT, DeBERTa) for multi-label classification. 5- Contributed to model deployment through AWS SageMaker to support production-grade AI workflows. 6- Presented model performance and insights through clear data visualizations (Streamlit) to support understanding across technical and non-technical stakeholders 7- Collaborated in an Agile environment (Scrum), participating in sprint planning, daily stand-ups, and iterative model improvements based on stakeholder feedback.
1- Collaborated closely with cross-functional stakeholders to clarify expectations and ensure alignment between business needs and AI solutions. 2- Developed a standalone voice-based AI agent to assist drivers with hands-free recommendations for nearby point of interest (Stations, Restaurants, Hobbies). 3- Designed and implemented a natural language understanding pipeline to process complex voice commands and queries. 4- Implemented a RAG-based retrieval pipeline leveraging web-mining and geolocation APIs to surface and rank relevant points of interest in real time. 5- Built user preference learning mechanisms to personalize recommendations based on driver habits. 6- Communicated results clearly to both technical and non-technical audiences using data visualization tools
1- Analyzed and preprocessed structured data to extract key features 2- Implemented an AI model using Reinforcement Learning/Metaheuristics for structure placement under multiple constraints. 3- Effectively communicated analytical findings to diverse audiences, ensuring clear understanding
PROJECT MANAGEMENT: RENOVATION OF THE SCHOOL'S BIKE PARK As project manager, my role is to improve the safety, user-friendliness and efficiency of the school's bike park. Key responsibilities: - Regular communication with stakeholders (school, partners) - Monitoring the progress of the project and the condition of the bikes
Signing of the new contract with the sports halls. Meeting report.