Using hyperspectral Imaging to predict dry matter in potatoes.To carry out Knowledge Transfer Partnership between UWE and B-Hive Innovations to build a a novel real-time, non-contact system to measure dry matter content in potatoes.To lead the entire project and carry out tasks as specified in the work plan or according to relevant changes made to the workplan.Implement advanced technical procedures, including machine vision techniques and machine learning algorithms, design and perform new experimental designs.Analyse a high number of samples methodically and rigorously and identify and communicate immediated priorities.Write technical reports and create documentation.Implement a lab based prototype forward to an industrial solution and a marketable product.Engaging and networking with a high number of stakeholders.

Leveraged supervised machine learning techniques to establish a definitive correlation between PPG and blood pressure.Used signal processing on raw, noisy PPG data from various smartwatch sources and evaluated different types of filters to reduce noise.Awarded multiple funding scholarships from the University of Bristol and University of the West of England (UWE).Actively participated in the South West region's Startup Studio and UWE's LaunchSpace incubator, driving innovation and entrepreneurship.

• Designing the 3D model of a Delta robot from the concept stage right to the manufacturing stage• Using rapid prototyping techniques to build prototypes• Liaising with customers during the design process

• Developed oral and written skills while interacting with international customers• Improved attention to detail by understanding customer expectations

• Developed skills to identify problems and understand how to find solutions

• Learnt management skills by assigning tasks to people and interpersonal skills by interacting with people in various departments• Developed keen eye to detail as part of quality management• Developed critical thinking ability in the process of finding solutions