Hoang Trinh

AI ML Applied Scientist at Intuition Machines

Greater Padova (Padua) Metropolitan Area Italy
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Summary

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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.
code9 years of coding experience
job9 years of employment as a software developer
bookMaster's degree Ingegneria delle Telecomunicazioni Telecommunication Engineering, Master's degree Ingegneria delle Telecomunicazioni Telecommunication Engineering at Università degli Studi di Padova
bookUPC Universitat Politècnica de Catalunya
languagesItalian, English, vietnamita, Spanish
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Github Skills (15)

security9
kernel9
rust8
linux8
security-framework8
modular7
ebpf7
self-contained7
iot6
artificial-intelligence5
keras5
deep-learning4
inference4
tensorflow4
onnx4

Programming languages (1)

Rust

Github contributions (5)

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hdtrinh/hdtrinh.github.io

Feb 2019 - Apr 2025

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:88 pushes in 6 years 2 months
templategithub-pages-templatemmistakesmistakesjekyll
hdtrinh/hdtrinh

Apr 2021 - Apr 2025

Contributions:4 pushes, 1 branch in 3 years 11 months
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Hoang Trinh - AI ML Applied Scientist at Intuition Machines