
Saaram Chaudhry
Engineering / Architecture
About Saaram Chaudhry:
I am a passionate and driven Electrical Engineer with a strong interest in Robotics, AI and automation technologies. Currently pursuing my Master’s in Robotics and Smart Technologies in the UK, I am dedicated to exploring cutting-edge advancements in Robotics and AI integrated IoT-driven solutions.
My academic journey has been complemented by hands-on experience in embedded systems, computer vision, and deep learning. I have worked on various projects, utilizing such technologies enabling me to refine my skills in Python, OpenCV, microcontrollers, sensor integration, and machine learning frameworks.
Beyond academics, I have also gained professional experience in customer service and operations, which has enhanced my adaptability, teamwork, and leadership abilities. Working in diverse roles has strengthened my communication skills and ability to work in fast-paced environments.
I am particularly interested in autonomous systems, AI-driven automation, and IoT applications in different industries. My goal is to contribute to innovative projects that leverage artificial intelligence, deep learning, and automation to enhance efficiency and sustainability.
Experience
Research Intern – Robotics and Machine Intelligence Lab, SEECS, NUST
Dec 2023 – Jan 2024
- Developed an Augmented Reality-based virtual assistant for autistic children.
- Implemented sensory texture simulation via Vuforia's natural feature detection.
- Applied ARCore’s COM (Concurrent Odometry and Mapping) for real-time plane detection.
Research Intern – IoT Lab, SEECS, NUST
Jun 2022 – Aug 2022
- Worked on integrating Arduino and ESP modules with external devices.
- Delivered PCB design workshop training.
- Investigated IoT applications and machine learning integration.
Education
MSc in Robotics and Smart Technologies
University of Staffordshire, Stoke-on-Trent, UK
Sep 2024 – Present
Bachelor of Electrical Engineering
National University of Sciences and Technology (NUST), Islamabad, Pakistan
Oct 2020 – May 2024
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