Arshman Hassan Naeem

Arshman Hassan Naeem

Embedded Systems & Robotics Engineer

IslamabadBachelors
Available immediately Open to any modeEngineering

Mechatronics student and NESCOM fellow with expertise in UGV development, STM32 firmware, and sensor fusion for autonomous robotic systems.

About

Highly skilled Embedded Systems Engineer with extensive experience in robotics, autonomous systems, and IoT-based solutions using STM32, Arduino, ESP32, and Raspberry Pi. Expertise in real-time system design, edge computing deployment, edge AI integration, and embedded software development. Proficient in communication protocols, robot localization, path planning, and probabilistic robotics concepts such as Kalman filters.

Skills

Embedded CC++PythonMATLABSTM32 (HAL)STM32CubeIDEArduino IDERaspberry PiUART/USARTI2CSPICANOpenCVTensorFlowPyTorchPLCCNC ProgrammingSensor FusionKalman Filtering

Languages: English

Education

Bachelor of Engineering in Mechatronics Engineering

National University of Sciences & Technology (NUST), Islamabad

Sept 2022 – May 2026

Intermediate in Pre-Engineering

Kips College Multan

May 2020 – May 2022

Matriculation in science subjects

Noukhez School

Jun 2018 – May 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 vehicle stability and response. Utilized Raspberry Pi for pipe inspection and real-time 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). Focused on deploying edge computing for real-time data processing in robotics. Developed prototypes for PCB, CAD designing and 3D printing.

Projects

ROVE - An Petroleum pipe inspection Robot

Designed embedded firmware on STM32F401RE for autonomous in-pipe inspection, integrating UART, I2C, SPI, and ADC. Implemented sensor fusion using a Kalman filter for longitudinal robot navigation.

View project →

Automated Tree Plantation Robot

Developed an autonomous robot using sensors and computer vision to locate and identify fruits. Programmed pathfinding algorithms for efficient autonomous pick and place operations.

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Path Planning and Basket Ball Throwing Robot Simulation

Developed an autonomous robot path planning system in CoppeliaSim utilizing distance and proximity detection algorithms and kinematic modeling for precision.

View project →
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