Summary
Junyi Li is a software engineer based in Paris with 12 years of hands-on experience building high-performance systems, from AI compilers to real-time visualization and distributed data pipelines. A recent EPITA graduate specialized in AI and Data Science, he has improved deep learning compiler performance at AMD, parallelized high-definition planetary visualizations at the Paris Observatory, and implemented resilient APIs and ETL flows in production. He blends C++, Python, and Scala expertise with practical MLOps and big data tools (TensorFlow/PyTorch, Kafka, Spark, Docker, Azure) to deliver scalable, observable solutions. Notably, he scaled a visualization module sevenfold and achieved 99% reliability migrating ERP records into Salesforce, demonstrating an attention to both algorithmic performance and operational robustness. Pragmatic and collaborative, Junyi writes thorough technical documentation and automated tests to reduce regressions and speed cross-team decision-making. He seeks opportunities to turn complex data into actionable insights within dynamic engineering teams.
12 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at EPITA: Ecole d'Ingénieurs en Informatique
Classes préparatoires aux grandes écoles (CPGE), Classes préparatoires aux grandes écoles (CPGE) at Lycée Franklin Roosevelt
Chinese, English, French