
Michel Trinh
Looking for Investors/top talents/customers
0 followers·0 connections
Interested Industries
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
M.ASc in Electrical and Computer Engineering
Specialization: Pattern Analysis and Machine Intelligence