Christian Joppi is a Senior Deep Learning Engineer with a Ph.D. in Computer Science and 11 years of experience building production-grade computer vision and multimodal AI systems. He has delivered perception stacks for Camera/LiDAR and automated labeling pipelines that reduced manual annotation costs and contributed to patentable AD innovations, and previously built people-tracking, forecasting, and TensorRT-optimized models for industrial applications. Comfortable bridging research and engineering, he combines deep learning research rigor with hands-on deployment skills in Python and PyTorch, plus experience integrating LLM-driven agents and RAG for practical products. Based in Karlsruhe, he brings a strong academic foundation—teaching probability, signal processing, and pattern recognition—yet consistently focuses on pragmatic impact and cost savings in real-world systems.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università degli Studi di Verona
Computer Science, Computer Science at Università degli Studi di Trento
High School Diploma, Computer Science, High School Diploma, Computer Science at ITT G. Marconi Rovereto
International Computer Vision Summer School (ICVSS), Computer Vision - Where are we?, International Computer Vision Summer School (ICVSS), Computer Vision - Where are we? at Università di Catania
Contributions:18 commits, 18 pushes, 3 comments in 1 year 10 months
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