Christian Carlos Bile

Build internal software applications for engineering teams at a French small-satellite launch-vehicle company. Develop workflows to configure launch vehicles for missions, track build and integration, and prepare launch campaigns.

Work across Adentis and Epigone under their shared consulting arrangement, designing and delivering software solutions for enterprise clients.

Built the data foundation for an R&D project focused on geo-economic optimisation of healthcare access in French medical-desert areas. Developed reproducible Python/pandas pipelines to ingest, clean and join public healthcare, demographic and geographic datasets.

Designed tools and applications for processing individual documents and large batches, then distributing them through postal, electronic document-management and e-signature channels. Implemented Python batch-processing and distribution workflows alongside Java backend services and Angular interfaces.

Designed and built a responsive digital-business-card sharing application from scratch as the sole engineer. Designed the database and developed a Python/FastAPI microservices backend with Django and React frontend components.

Implemented backend features for a data-driven marketing SaaS, processing customer data through batch pipelines and supporting campaign statistics and activation across SMS, email, Google Ads and Facebook Ads.

Built AI and web solutions to monitor patients’ health and alert clinicians to potential emergencies. Developed Python/FastAPI backend functionality and an Angular frontend, integrating GraphQL with FHIR-structured healthcare data.

Studied relationships between deep-neural-network misclassification and highly activated neuron groups. Proposed a Python framework using discriminative pattern mining to identify activation patterns associated with correct and incorrect classifications.

Developed machine-learning and deep-learning models to predict airline customer lifetime value from traveller characteristics and purchasing behaviour.

Developed desktop applications and management systems used by more than 100 clients across several industries. Contributed to a desktop and tablet application automating textile-production processes for a multinational fashion company.

Contributed to Mode, a web application connecting small fashion businesses with customers, using Node.js, Angular, TypeScript and MongoDB; managed code with GitHub and deployed on Azure.

Master’s degree in Artificial Intelligence and Advanced Visual Computing.

Bachelor’s degree in Computer Science.