Xin is a Paris-based software engineer with four years of experience building backend systems and deploying AI-powered solutions, currently contributing to Datadog. Comfortable across Python, Node.js and Java, they have strong system design, testing and cloud deployment skills and a track record of shipping production services at Scality and earlier roles integrating ML into products. At Scality they improved core authorization and object APIs in the prominent open-source Zenko CloudServer project, demonstrating attention to security and distributed storage semantics. Previously developed NLP pipelines and productionized deep learning models using TensorFlow, BERT and classic ML, alongside optimizing high-volume SQL workloads and asynchronous architectures with Celery/RabbitMQ. Trained in distributed systems and data science at Télécom Paris and a top-ranked software engineering graduate from Wuhan University, Xin blends research-aware ML practice with pragmatic backend engineering. They bring a habit of surfacing subtle security and correctness fixes in large codebases while keeping systems scalable and maintainable.
4 years of coding experience
4 years of employment as a software developer
Engineer's degree, Distributed Software Systems (Système Logiciels Répartis), Engineer's degree, Distributed Software Systems (Système Logiciels Répartis) at Télécom Paris
Engineer's degree, Data Science (Science des Données), Engineer's degree, Data Science (Science des Données) at Telecom ParisTech
Bachelor's degree, software engineering, 3.66/4 (ranking top 1), Bachelor's degree, software engineering, 3.66/4 (ranking top 1) at 武汉大学
Zenko CloudServer, an open-source Node.js implementation of the Amazon S3 protocol on the front-end and backend storage capabilities to multiple clouds, including Azure and Google.
Role in this project:
Backend Developer
Contributions:52 reviews, 27 commits, 23 PRs in 4 months
Contributions summary:Xin primarily focused on improving the authorization and permission checks within the cloud server. They modified existing code to replace IAM user checks with non-account user checks, enhancing the security model. The commits demonstrate their involvement in core API logic, including object and bucket operations. Furthermore, the user contributed to the object restore API, demonstrating their focus on feature implementation in the backend.
Contributions:50 reviews, 55 commits, 30 PRs in 4 months
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