MSc Robotics graduate, Mechanical Engineer, and MIET from King's College London. I specialise in bridging the gap between software and hardware, with expertise in ROS2, machine learning, and advanced mechanical design.
Engineered a multi-node ROS2 architecture for autonomous target tracking using Turtlesim. Leveraged Python and OOP principles to build publishers, subscribers, and custom interfaces for simulated robot control.
Developed signal processing methods in MATLAB for online training in a robotic arm. Employed LDA and SVM classifiers, achieving 95.20% accuracy with SVM for gesture recognition.
Partnered with SoundSorba to develop a prototype using Resnet50 and YOLOv4. Achieved 88.2% accuracy on a dataset of 900+ images, demonstrating deep learning efficacy in fault detection.
Implemented RRT, PRM, and A* motion planning algorithms in Python. Spearheaded the development of RRT and A* algorithms, ensuring optimized performance and detailed algorithm efficiency comparisons.
A timeline of my academic background and professional roles.
King's College London
Key Modules: Robotics Systems, Machine Learning for Engineers, AI Reasoning, Computer Vision, Real-Time Systems and Control.
Brunel University London
Key Modules: Design of Engineering Systems, Applied Fluid Mechanics, Mechatronics, Sustainable Engineering.
Bali Bali, London
Provided exceptional customer service in a fast-paced environment while balancing rigorous MSc studies. Managed orders, inventory, and teamwork under pressure.
Brunel University
Managed society operations, budgeting, and organized social events, demonstrating strong administrative and collaborative skills.
Various Agencies, London
Featured in commercial advertisements for global clients (Samsung, ASOS, Virgin Media). Developed strong communication and presentation skills in diverse settings.
Have a project in mind or want to discuss opportunities? Send me a message below.