Managing the acquisition of unmanned seaward response systems for the RSN, including integation to shore surveillance sensors, C3 systems, etc.

Seconded to the RSN Naval Plans Department to provide technical expertise in developing front-end CapDev roadmaps and scoping technical requirements to meet operational needs

Naval Systems, Unmanned Maritime Systems• Adopted a Systems Engineering approach to manage large-scale and complex Unmanned Surface Vessel (USV) projects for the Republic of Singapore Navy (RSN)Enterprise IT, Fleet Management System• Leveraged data analytics to develop anomaly detection models (using Python) to predict USV component failures • Analysed maintenance and spares data to uncover defect trends and patterns• Designed and implemented dashboards (using QlikSense) to visualise findings

Information Division, Manned-Unmanned• Developed framework and metrics for the Verification and Validation (V&V) of USV collision detection and avoidance capabilities, based on extensive literature review of industry practices• Implemented algorithms (using C++) to automatically score the collision detection and avoidance software based on selected metrics• Designed V&V architecture to accelerate testing process by ~100x• Awarded the DSTA Innovation Award (Individual)

Design of Test Rig for Bench Testing of Engine Driven Pump (EDP)• Worked in a team of 3 to analyse EDP performance requirements for the M345 aircraft• Conducted bench testing to check if actual performance matched requirements

Naval Systems, Surface Warships• Developed an optimisation algorithm (using MATLAB) for vehicle arrangement on naval ships, taking into account unique constraints of defence missions