One day, I want to honestly say, "I made it."

I am Supavit Siriwan, an embedded firmware engineer with eleven years spent on software that has to be right the first time: V2X communication units in vehicles, onboard signaling for a driverless metro line, and the control boards inside commercial laundry machines.

I am currently a Firmware Engineer at Alliance Laundry Systems in Thailand, working with the US team on US-market products, and I keep one foot in autonomous systems and robotics.

Work experience

Firmware Engineer

September 2025 - Present

Alliance Laundry Systems (Thailand) Ltd.

Front End Control (FEC) firmware for commercial washers and dryers, developed in Thailand for the US product lines.

Upgraded FEC firmware to support a new motor drive board, across 3 Front End Controls.
Diagnosed and resolved OTA software update issues in the product firmware.
Develop in Embedded C and FreeRTOS across three ARM Cortex-M platforms, including Wi-Fi and BLE connected variants.
Work directly with the US engineering team on requirements and design decisions for US-market products.

VATC Work Package Lead

December 2023 - August 2025

Alstom (Thailand) Co., Ltd.

Delhi Metro Pink Line (Line 7): a GoA4 driverless CBTC system developed to EN 50128 SIL4.

Led the onboard work package across software, hardware and DMI, owning the software package end to end with a team of four.
- Clarified software scope and requirements with the adjacent subsystems (RATC, ATS) and with the project engineers as internal customer.
- Coordinated hardware and DMI counterparts against a shared milestone, and worked with the software test team to verify each package before release.
Investigated and resolved issues from operating lines.
The package passed its safety assessment and entered service.

Software Architecture

June 2023 - December 2023

Alstom (Thailand) Co., Ltd.

The role I joined Alstom in, before taking on the VATC work package.

Defined software scope and requirements with the project system team.
Designed and implemented software changes to resolve operational issues.
Reviewed design documents and source code for quality and clean integration.

Freelance Software Engineer

March 2021 - June 2022

Toyota Tsusho Nexty Electronics (Thailand) Co., Ltd. (contract)

Set up simulation environments for autonomous vehicle competitions on the CARLA platform, with custom routes and scenarios for testing AV behavior.
Designed and built the GUI for a residential central remote controller using TouchGFX on STM32, later commercialized as Daikin's Simple Touch Controller.

Software Engineer

February 2015 - July 2018

Toyota Tsusho Nexty Electronics (Thailand) Co., Ltd.

Engine ECU: reduced manual work identifying overflow variables in the source code with an Excel VBA tool.
Engine ECU: feasibility studies on moving development to Model-Based Design (MATLAB Simulink, Stateflow) from existing C design specifications.
Developed the WAVE protocol stack from the IEEE 1609 standard.
V2X ECU: a vehicle-to-infrastructure communication platform built on the stack, developed within a 15-person team.
- Defined the software requirement scope and designed the platform architecture, consulting with the customer.
- Held configuration management responsibility, and reviewed, debugged and optimized source code to comply with MISRA-C and pass quality assurance.
- Runs on a dual-core NXP i.MX (ARM Cortex-A) with an asymmetric OS pair: T-Kernel RTOS and QNX.
- The stack and platform shipped into field trials in Japan and the United States.

Embedded System Engineer

May 2014 - December 2014

INVISOR CO., LTD

Researched and developed a quad-rotor for surveying, using Pixhawk (ArduPilot) with the MAVLink protocol.
Installed and serviced vehicle tracking devices, and wrote the user manual for the tracking software.

Education

Exchange research student, Tokyo Institute of Technology

September 2019 - November 2019
While I was studying for my master's degree, I received a scholarship to conduct research at the Tokyo Institute of Technology under the TAIST-Tokyo Tech program. My research was on developing Adaptive Cruise Control using reinforcement learning. After 96 million training iterations, the agent car could follow the lead car for 220 meters.

Railway system non-degree, Mahidol university

April 2019 - May 2019
While I was studying for my master's degree I also enrolled in a railway systems non-degree course, covering railway signaling, the development process, and track construction.

M.Eng. coursework, Information and Communication Technology for Embedded Systems, Kasetsart University

2018 - 2024
I completed the full required coursework with a 3.88 GPA in the TAIST-Tokyo Tech program, but never submitted my thesis, so the degree was not conferred. My research was on making an autonomous vehicle perform an overtake on a single-carriageway road, using inverse reinforcement learning to imitate human behaviour.

B.Eng., Electrical Engineering, Kasetsart University

2010 - 2014
My senior project is the Development and Control of a self-balancing Tube-Riding Robot. The robot balancing is controlled by PID controller. Which use angle and angular velocity as feedback from IMU.

Extra-curricular Activities

SKUBA Robot Team

During undergrad, I joined the team as an electrical engineer. I am taking the responsibility to maintain the robot. Furthermore, I developed an algorithm for technical challenges, which is a sub-category award. And got 1st Place in Pass and Intercepted Challenge from World RoboCup 2012 in Mexico City, Mexico. [SKUBA RoboCup SSL]

Thanyaburi Robot Club

During high school, I lead the robot team to pass the national qualification round to get an opportunity to participate in World Robot Olympiad 2009 in Yokohama, Japan.

Skills

Programming: C, C++, Python, MATLAB.
Embedded systems: ARM Cortex-M and Cortex-A (TI, Renesas, STM32, NXP i.MX); FreeRTOS, T-Kernel RTOS, QNX, Linux.
Standards and process: MISRA-C, EN 50128 / SIL4, configuration management, requirements engineering.
Tools and platforms: IAR EWARM, GCC, Git, MATLAB Simulink, ROS, TouchGFX, CARLA.
Learning: Reinforcement Learning, Sensor Fusion.
Languages: English (TOEIC 770), Japanese (JLPT N5).