Clément Fang
Image Processing Engineer at Smiths Detection
Vitry-sur-Seine, Île-de-France, France
Summary
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Senior🎓
Top SchoolClément Fang is an Image Processing Engineer with 9 years of experience building and optimizing AI systems for visual data, from X-ray analysis to MRI reconstruction. He combines deep learning (detection, segmentation, anomaly detection, foundation models) with high-performance engineering in C++ and CUDA to accelerate physics-heavy pipelines and minimize I/O bottlenecks. At Smiths Detection he delivered production-ready encrypted ONNX models, standalone Python executables, FAISS-based image retrieval, federated learning pipelines, and local LLM/RAG tools using LangChain. He also generates synthetic training data with Stable Diffusion and applies quantization and distillation to cut inference latency without sacrificing accuracy. Based in Vitry-sur-Seine, he pairs research-oriented R&D experience (CNRS, Siemens Healthineers) with pragmatic deployment skills and a knack for squeezing performance from both algorithms and systems.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at EPITA: Ecole d'Ingénieurs en InformatiqueComputer Engineering, Computer Engineering at Oxford Brookes University
English, French, Chinese, Spanish
Stackoverflow
1reputation
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Github contributions (5)
Hackerma/bomberman
Jan 2017 - May 2018
Contributions:27 pushes, 1 branch in 1 year 3 months
Fangui/config
Jul 2017 - Dec 2018
Contributions:15 pushes, 1 branch in 1 year 4 months
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