Clement Toh

Building intelligent manufacturing systems at the intersection of hardware, automation, and data.

I'm Clement, a Mechanical Engineering undergraduate at the National University of Singapore and an incoming Vehicle Manufacturing Engineering Intern at Tesla in Austin, Texas.

My engineering interests lie in industrial automation, hardware-software integration, and manufacturing intelligence. I enjoy connecting physical systems with data to improve how machines are monitored, validated, and operated.

Through engineering projects at JD Union and A*STAR ARTC , I've gained hands-on experience in mechatronics, data acquisition, IIoT telemetry, and engineering validation.

"Clement had no issues picking up new topics with IoT, industrial hardware, or C++/Python programming... I am certain that Clement will be a great addition in any forward-looking team to contribute his problem solving skills."

Dr. Zheng Jie TAN
Senior Scientist II, ARTC (A*STAR)
View Official Letter

Next Chapter · 2027

Incoming Engineering Intern @ Tesla

Position:
Vehicle Manufacturing Engineering Intern
Manufacturing Controls & Industrial Automation
Location:
Gigafactory Texas
Austin, Texas, United States
Duration:
January 4 – July 30, 2027
Winter / Spring / Summer · Full-time
Focus:
SCADA & Manufacturing Data Systems
Industrial Monitoring · Controls · System Integration

Looking forward to contributing to advanced vehicle manufacturing while developing my skills in industrial automation, manufacturing controls, and production data systems.

Academic & Professional Timeline

Tesla (Incoming · 2027)
NUS (2025–2028)
JD Union (2026)
A*STAR ARTC (2022–2023)

Industrial & Research Projects

Advanced Motion & Vision Control

Advanced Motion & Vision Control Integration

2026

Took ownership of a workstream to engineer a >250kg test infrastructure, initiating actionable plans to drive real change in overseas fabrication.

Workstream Management SolidWorks
End-to-End IIoT Integration

End-to-End IIoT Integration for LPBF 3D Printing

2023

Architected IIoT telemetry pipelines, analyzing data from sensitive DAQ hardware to generate fresh insights and capture real-time process parameters.

Data Analytics InfluxDB NI DAQ
In-Situ Spectrometer Integration

In-Situ Spectrometer Integration & Validation

2023

Executed critical EVT by analyzing data from IPC network packets, delivering breakthrough solutions to precisely synchronize optical sensors.

Python Problem Solving EPL

Hardware Optimization & Prototyping

3D Printer Customization

3D Printer Thermal & Hardware Optimization

2024

Prototyped continuously to develop a custom print-head shroud, resolving root-cause thermal failures and improving the hardware user experience by mitigating part warpage.

Fusion 360 Rapid Prototyping Validation Testing