Arshman Hassan Naeem

Arshman Hassan Naeem

Embedded Systems & Robotics Engineer

IslamabadBachelors
Available immediately Open to any modeEngineering

Mechatronics Engineer specializing in embedded systems and robotics, with hands-on experience in autonomous UGVs, edge AI, and PID control.

About

Highly skilled Embedded Systems Engineer with extensive experience in developing robotics and autonomous systems using STM32, Arduino, ESP32, and Raspberry Pi. Expertise in real-time system design, edge computing deployment, and edge AI integration. Proficient in communication protocols such as SPI, USART, and I2C, with a strong background in mechatronics and AI-driven applications.

Skills

PythonC++MATLABEmbedded CSTM32 HALCubeIDEArduino IDEKeilMicrochip StudioRaspberry PiFPGAAtmega168051NumPyPandasPyTorchTensorFlowOpenCVYOLOv8Edge ImpulseI2CSPIUSARTMQTTUARTCANEthernet / TCP/IPLoRaWAN

Languages: English, Urdu

Education

Bachelor of Engineering in Mechatronics Engineering

National University of Sciences & Technology (NUST), Islamabad

2022 - Present

Intermediate in Pre-Engineering

Kips College Multan

2020 - 2022

Matriculation in science subjects

Noukhez School

2018 - 2020

Experience

Embedded Systems Engineer / Robotics Intern · Nescom (National Engineering and Scientific Commission) Pakistan

July 2025 - Sept 2025

Engineered an Unmanned Ground Vehicle (UGV) with sensor fusion using STM32 for motor control and sensor integration. Applied PID control for optimizing stability and utilized Raspberry Pi for real-time pipe inspection data capture.

Research and Development Intern · National Centre for Robotics and Automation, Pakistan

July 2024 - Aug 2024

Worked on the design and development of Unmanned Ground Vehicles (UGVs) and focused on deploying edge computing for real-time data processing. Developed prototypes for PCB, CAD designing, and 3D printing.

Projects

ROVE - An Petroleum pipe inspection Robot

Developed an Unmanned Ground Vehicle (UGV) for pipe inspection using STM32 and Ethernet configuration. Integrated Raspberry Pi with Pi Cam for live-streamed inspections and structural analysis.

View project →

Automated Tree Plantation Robot

Developed an autonomous robot using sensors and computer vision to locate, identify, and navigate to fruits. Programmed pathfinding algorithms for precise robotic manipulation and pick-and-place operations.

View project →
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