- Provide strategic guidance on AI adoption and implementation for businesses.- Develop tailored AI solutions to optimise operations and drive innovation.- Conduct AI/ML model evaluations and recommend improvements for enhanced performance.- Lead end-to-end AI project management, including data analysis, model development, and deployment.- Deliver technical training and workshops to empower teams with AI knowledge.

Research projects currently involved in:- AI in Autonomous Vehicles: Deep Neural Network Architecture for Intention & Trajectory Prediction in Autonomous Driving.- MAESTRO (Multi-sensing AI Environment for Surgical Task & Role Optimisation, led by Imperial, EPSRC-funded).- SARAS (Smart Autonomous Robotic Assistant Surgeon).

−Leading a team of 25 BSc and MSc students in developing an autonomous driving system. The team ranked 1st and 2nd in UK IMechE Formula Student AI 2020 and 2021 competitions, respectively.−Writing the team’s yearly plan and milestones. Supervising budget, recruitment, and research&industry connections.

−Delivered courses and supervised labs for the BSc Robotics programme.−Participated in modifying the BSc Robotics programme’s structure to include the latest technology and suit market needs.

−Applied LSTM to build a GPi-navigation software that classified microelectrode recordings series and detected the Striatum-GPe-GPi borders online in Parkinson’s disease, with an accuracy of 91.1%.−Worked inside the operating room with high credentials neurologists, observed the algorithm’s performance, recorded feedback, and modified the algorithm accordingly.−Worked within an AGILE environment and wrote the Software Requirements Specification (SRS) for the GPi-Navigation software.