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Kan være tilgængelig

(Opdateret 2023-09-05)

Robotics Engineer

Lund, Sweden

Modersmål Svenska, English

Robot Operating System
Embedded Systems
Machine Learning

Kontakt

Kvalifikationer (23)

SENSORS

Git

TECHNICAL DOCUMENTATION

ROBOT OPERATING SYSTEM

MATLAB

EMBEDDED SOFTWARE

ROBOTICS

DOCUMENTATION

SIGNAL PROCESSING

EMBEDDED SYSTEMS

ESP32

Pytorch

arduino

SENSOR FUSION

CONTROL ALGORITHMS

Python

RASPBERRY PI

COMPUTER VISION

STM32

C++

WORKFLOW

FANUC

Resumé

People usually describe me as a calm and quick-witted person
and appreciate my ability to listen and follow instructions. I like
being well organized and always strive to optimize my workflow.

My education alongside my curiosity has provided me with
knowledge in many different areas of engineering, with my
strengths being in embedded systems and artificial intelligence.

MISCELLANEOUS Location: Skåne

Swedish - Native
English - Fluent
Citizenship: Swedish

DETAILED CONSULTANT PROFILE PETER NGUYEN

Professionel erfaring

Sony Nordic

2023-01 - 2023-09

Environment: AsciiDoc, Python, Linux, Git Application: Documentation and guides for products used in the automotive industry.
Responsibilities: Technical documentation of Sony's IMX image sensors and NVIDIA's Jetson and DRIVE hardware. Hands-on testing of the corresponding SDKs and OS. Detailed guides on how to operate the different systems.

Synective Labs AB

2022-08 - 2022-12

Environment: Python, PyTorch, C++, Microsoft Azure, Linux, WSL2, Git Application: TRUST-E research project Responsibilities: Determine the remaining useful life of transistors with deep learning and other algorithms. Models developed in PyTorch are CNN, MLP, and RNN.
Implement inference at the edge on Raspberry Pi, and IoT-to-Cloud communication by porting to Azure Machine Learning using pipelines.

ABB Corporate Research

2022-01 - 2022-06

Environment: C, C++, Python, ROS2, micro-ROS, Linux Application: Master thesis work Responsibilities: Setup and trace analysis of micro-ROS on STM32, ESP32, and Arduino microcontroller development boards, communicating sensor and actuator data remotely with ROS2 inside a mobile robot.
Publication: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-59065

microcontroller development boards

Mälardalen University

2021-09 - 2021-12

Environment: C, C++, Python, ROS2, micro-ROS, Linux, Git Application: Autonomous sailing boat for the World Robotic Sailing Championship Responsibilities: Setup of micro-ROS and the communication to ROS2, sensor reading and actuator control with ESP32 microcontroller development boards, signal processing and sensor fusion.

Akademisk baggrund

Master of Science in Robotics Engineering

2023-09 - 2022-01