Christian Joppi
Senior Deep Learning Engineer at understand.ai
Karlsruhe, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolChristian 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.
11 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 VeronaComputer Science, Computer Science at Università degli Studi di TrentoHigh School Diploma, Computer Science, High School Diploma, Computer Science at ITT G. Marconi RoveretoInternational 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
Italian, English, German
Stackoverflow
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Github Skills (28)
google-trends10
time-series-forecasting9
computer-vision9
segmentation8
multimodal8
visual-recognition7
machine-learning6
python6
detectron6
ui-components6
data-analysis5
object-detection5
deep-learning5
pdf5
data-science5
Programming languages (5)
Github contributions (5)
HumaticsLAB/AttentionBasedMultiModalRNN
Sep 2021 - Jun 2022
An unofficial Pytorch implementation of Attention based Multi-Modal New Product Sales Time-series Forecasting
Contributions:28 commits, 11 pushes, 3 comments in 9 months
multimodalpytorchtime-series-forecasting
HumaticsLAB/GTM-Transformer
Sep 2021 - Apr 2022
Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends
Contributions:30 commits, 9 pushes, 2 comments in 7 months
google-trendsmultimodal
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