Digital

Project :

Diagnostica Stago is a company specializing in in vitro hemostasis diagnostics. They design, develop, and market instruments, reagents, and consumables that allow for the diagnosis of a blood clotting abnormality based on a blood sample. Their instruments measure changes in the physical properties of the sample induced by the activation of the blood clotting phenomenon on different blood samples.

The objective of the BU in which our mission is inserted is to study the interest of Artificial Intelligence, and particularly Machine Learning for the post-processing of data measured on a hemostasis test. Our consultant's mission is to study and evaluate the interest of Machine Learning algorithms for the post-processing of raw hemostasis test data.

Description :

• Literature studies
• Software development in Python language (use of Scikit-Learn and TensorFlow libraries)
• Implementation of scientific calculations
• Synthesis and reporting of results

Project :

Solocal is the trusted local digital partner for all businesses to accelerate their growth.
It allows companies to have a maximum digital presence thanks to their media (PagesJaunes) and their partners, including GAFAM.

Description :

• Infrastructure improvement with a view to application performance
• Migration of an on-prem infrastructure to GCP (will require a ramp-up on Mesos in order to switch to Kubernetes)
• Improvement, extension and generalization of CI/CD pipelines
• Contribution and proposal on the evolution of the Kubernetes-based platform
• Optimization of application response times
• Middleware configuration
• Analysis of anomalies on pre-production/staging and production environments
• Guarantee the implementation of the operability of applications deployed in production (smokeTest, monitoring, alerting, instruction sheets, KPIs...), following the operability criteria defined by the Solocal DevOps community
• Setting up monitoring alerts
• Production monitoring, level 2 support and routing of higher level support requests to engineering teams
• Carry out on-call, particularly during HNO alerts
• Be a force of proposal in improving industrialization and automation techniques, thanks to technological watch
• Communication with other IT teams of the group
• Work in agile mode in development squads
• Documentation

Project :

We worked for a SLB startup, a world leader in drilling and subsurface characterization. It develops recognized expertise in the design and construction of tailor-made geothermal installations. The back-end software engineer is responsible for developing the back-end of a web application, managing the logic, interactions with the database, user authentication, configuration, etc. The back-end software engineer evaluates emerging technologies and provides strategic, innovative and cost-effective engineering solutions to increase the efficiency, reliability and integration of Schlumberger services and operations. This person works semi-autonomously within a team that rapidly prototypes emerging technologies to solve industry-related problems.

Description :

• Work with subject matter experts to refine requirements.
• Transform requirements and user stories into features.
• Develop server-side logic, define and maintain the central database, and ensure high performance and responsiveness to front-end developer requests.
• Integrate user-facing elements developed by front-end developers with server-side applications.
• Collaborate with front-end developers, architects, clients, users and Product Owners to set goals and design functional and consistent code to improve the user experience.
• Provide technical leadership and documentation to developers and stakeholders.