Michel Trinh

Michel Trinh

Looking for Investors/top talents/customers

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Activity Score: 70

Interested Industries

Artificial IntelligenceMachine LearningSemiconductorHigh-Performance ComputingAutomotiveResearch

Skills

Synchronization

intermediate

Benchmarking

expert

Neural Networks

expert

Antenna Design

intermediate

Human Activity Recognition

intermediate

Digital Twin

expert

Work Experience

Teaching Assistant

University of Waterloo

2025-01 - Present

ECE 459 (Winter 2025)–Programming for Performance: high-performance programming, multicore optimization, synchronization, and Rust-based systems development. ECE 252 (Spring & Fall 2025)–Systems Programming and Concurrency: supported Linux/C systems programming coursework covering multi-processes, threads, sockets, synchronization, concurrency debugging.

Research Engineer

Ansys

Developed radar digital-twin simulation scenarios involving radar devices, antenna modes, scene objects, actor motion, material/coating properties, and range-Doppler response outputs.

Research Assistant

Tampere University

Built real-time datalogger from source, including Raspberry Pi, IMU, GPS/GNSS VN200, and ROS for gait analysis. Implemented different neural networks for inter- and intra-subject oxygen uptake predictions.

AI Performance Architect

Gold Sentintel

Configured and adapted server-side code to Lenovo SE455 v3 AI Edge Server, focusing on asynchronous communication and scalability to handle high-volume data from 450 PCB boards. Optimized and integrated different ML models radar-based human activity recognition model onto the Tenstorrent Grayskull e150 AI Accelerator.

Embedded Software Engineer

Ideal Life JSC

Built the black box tracker for motorcycle from source including Arduino Nano, SIM800L and NEO6M GPS. Created SQL server database and developed openstreetmap based web page showing real-time geography location.

Intern

RIKEN Center for Computational Science

Extended A64FX benchmarking toolchain to support Fujitsu, GNU, LLVM, and Polly compilers; automated HPC performance evaluation and profiling on Fugaku. Analyzed communication loads and patterns; contributed to scalable script generalization and early-stage extrapolation framework for large-node simulations.

Education

B.Sc in Science and Engineering

Tampere University

Majors: Digital Computer System, Mathematics

University of Waterloo logo

M.ASc in Electrical and Computer Engineering

University of Waterloo

Specialization: Pattern Analysis and Machine Intelligence

Michel Trinh | Appli Network