Freelancer profile translated to English.
Back to original languageAbout Yue
Software and Machine Learning Engineer with over 7 years of experience in designing and developing Python-based infrastructure, APIs, and data systems, both in the cloud and on-premise environments. Strong expertise in backend development, REST API design, continuous integration and deployment (CI/CD), containerization (Docker, Kubernetes), and data pipelines. Demonstrated ability to deliver scalable and robust production solutions within multidisciplinary teams and across various sectors. Multilingual (Chinese, English, French, German), with a strong collaborative spirit and excellent intercultural communication skills.
Key Skills: Python, SQL, Linux, Docker, Kubernetes, GCP, REST APIs, CI/CD, GitLab/GitHub, Terraform, Flask, Django, TensorFlow, scikit-learn
French
Native or bilingual
English
Fluent
Chinese
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- EquativMACHINE LEARNING ENGINEERNovember 2023 - Today (2 years and 7 months)Paris, France• Design and deployment of cloud-native data pipelines and APIs based on Python/Django to automate the training and production deployment of machine learning models on GCP (BigQuery, serverless architectures).• Setup and maintenance of a real-time inference system (< 5 ms latency) powered by TensorFlow and TensorFlow Serving, improving the scalability, reliability, and efficiency of model deployment.• Collaboration with product, data, and infrastructure teams to define technical roadmaps and align architectural choices with business objectives.• Improvement of code resilience and CI/CD pipelines through service containerization with Docker and infrastructure provisioning automation with Terraform, enabling faster iterations and reducing deployment errors.• Creation of Grafana dashboards and Prometheus/on-call monitoring systems to ensure the health and reliability of the machine learning infrastructure.• Writing documentation and conducting training sessions to foster onboarding, adoption, and sustainability of solutions.
- Atlantic Financial GroupFROM COMPUTER SCIENCE DEVELOPMENTJuly 2021 - August 2023 (2 years and 1 month)Paris, France• End-to-end supervision of the development of a cloud financial platform based on RESTful microservices (Python, Flask, SQLAlchemy, FastAPI), with schema management via Marshmallow, database versioning with Alembic, and asynchronous processing with Celery.• Setup of robust automated tests with PyTest and Freezegun, workflow automation, and use of Jinja2 for dynamic email and report generation.• Main interface between executive stakeholders and technical teams, ensuring the translation of business needs into technical deliverables.
- ESME SudriaAPPLIED AI ENGINEER AND RESEARCH-TEACHING FELLOWSeptember 2018 - July 2021 (2 years and 10 months)France• Leading collaborative artificial intelligence projects with startups and industrial partners, ensuring the alignment between technical solutions and business needs.• Design of an intrusion detection system based on machine learning integrating cybersecurity constraints and advanced data analysis.• Design and delivery of technical training for over 50 engineering students, bridging academic theory and practical applications.• Coordination between stakeholders and delivery of prototypes to accelerate AI adoption in industrial use cases.
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Education
- PHD IN COMPUTER SCIENCE AND SYSTEMS ENGINEERINGUniversité de Rennes2017DOCTORAT EN INFORMATiQUE ET GÉNiE DES SYSTÈMES
- GENERAL ENGINEERING DEGREE IN NETWORKS AND COMPUTER SCIENCEIMT Atlantique2013DiPLÔME D'iNGÉNiEURE GÉNÉRALiSTE EN RÉSEAUX ET INFORMATiQUE