Pierre Lapolla
Junior cloud & software engineer with hands-on experience in AWS, Python, and backend development. I enjoy building reliable systems that connect devices, services, and users, from Raspberry Pi prototypes to cloud-native applications, and learning fast by working on real projects.
What I like to work on
Cloud & Backend Engineering
Designing and implementing backend services that are scalable, maintainable, and ready for the cloud. I like working with AWS, FastAPI, and CI/CD pipelines to turn ideas into reliable services.
Applied AI & Data
Applying machine learning to concrete problems: from traffic prediction with graph neural networks to computer vision with YOLO-based models. I enjoy connecting ML prototypes with real-world constraints.
Software Craft & Learning
Writing clean, structured code and improving developer experience with templates, automation, and good practices. I like sharing what I build, from LaTeX and Python templates to small open-source utilities.
Background
Capgemini · Cloud & Backend Internship
Worked on an AWS-based “Home Farming” project, building a prototype to collect data from a Raspberry Pi into the cloud using FastAPI, and setting up a CI/CD pipeline. Also explored computer vision with a YOLOv11 segmentation model for tomato plants.
LyRIDS · Research in AI
Contributed to a research project on road traffic flow prediction using graph neural networks. Involved literature review, model design, and participation in scientific writing.
Arkema · Industrial Data Prototype
Built a prototype around industrial sensor data collection, management and monitoring using a Raspberry Pi connected to AWS, with attention to reliability and simplicity in an industrial context.
ECE Paris · Cloud Engineering & Management
Master's-level engineering degree with a major in Cloud Engineering & Management. Foundations in computer science, networks, security, DevOps, and AI, plus project-based teamwork.
Talk to my AI assistant
I built an AI assistant with context on my background, projects, and interests. It can answer questions like a personal recruiter-facing FAQ: my experience, what I enjoy working on, and how I approach problems.