Junior Conception Engineer

Integration into the technical team of an AEC industry player to lead a complex engineering project focused on design and automation.

• Captured client needs and translated them into system-level specifications and data models.
• Automated quantity extraction from a graph-based data model (RDF/SPARQL) using Python and the 3DEXPERIENCE platform.
• Reduced manual processing time by 30 to 45% through requirements-driven automation.
• Delivered technical reports and presented results to stakeholders up to the executive level.
• Impacted over 80 stakeholders distributed across design, engineering, and project management teams.
• Technical environment: Python, RDF, SPARQL, 3DEXPERIENCE

Joined Pracartis Technology as an R&D intern to lead the needs analysis, documentation, and implementation of an orbital mechanics simulation system.

• Visited companies and academic institutions to evaluate existing methods, workflows, and strategic approaches.
• Produced technical documentation and user manuals to support system deployment and operational use.
• Presented conclusions and technical recommendations to the Chief Technology Officer.
• Achieved an estimated 30 to 50% reduction in testing and training time through simulation capabilities.
• Impacted approximately 40 users (engineers, technicians, students) by improving system accessibility.
• Developed strong technical, communication, project management, and systems engineering skills.
• Coordinated and led a research project on the modeling, design, and cost estimation of a supercritical CO₂ pressure/temperature measurement system.
• Conducted in-depth needs analysis and translated requirements into formal technical specifications.
• Performed system sizing, feasibility studies, and detailed cost estimation, including supplier sourcing and quote requests.
• Produced structured technical documentation to support system design, validation, and knowledge transfer.
• Collaborated with engineering teams from Arts et Métiers (Cluny) and presented technical results to senior stakeholders.
• Enabled an estimated 20 to 30% reduction in design iteration time and cost uncertainty through rigorous upstream analysis.
• Impacted approximately 25 stakeholders (engineers, researchers, suppliers) involved in system development and decision-making.
• Technical environment: Python, Simulation systems, Technical documentation, Project management tools