Hoang Trinh is an AI/ML applied scientist with a PhD in Network Engineering and nine years of experience building production-ready machine learning systems across cybersecurity and telecoms. He’s led research and engineering at Exein to deliver >99.8% accurate malware detection for Linux ELF files and implemented low-latency, GPU-accelerated inference on embedded devices using Rust, ONNX and HuggingFace Candle. Prior work includes applied ML research for 4G/5G traffic optimization and RL for wireless systems during a visiting appointment at the University of Maryland. Now based in the Padova metropolitan area and working at Intuition Machines, he blends rigorous academic training with hands-on engineering to move models from research to constrained edge deployments. A polyglot developer comfortable with Python and Rust, he brings a rare combination of telecoms research depth and practical cybersecurity model delivery.
9 years of coding experience
9 years of employment as a software developer
Master's degree Ingegneria delle Telecomunicazioni Telecommunication Engineering, Master's degree Ingegneria delle Telecomunicazioni Telecommunication Engineering at Università degli Studi di Padova
Contributions:4 pushes, 1 branch in 3 years 11 months
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Hoang Trinh - AI ML Applied Scientist at Intuition Machines