John Matthew Lusung

3D Scanning, CFD & FEA Engineering

• Established Torishima Singapore’s in-house 3D scanning, CFD, and FEA capabilities from the ground up, building workflows, infrastructure, and competency.
• Led reverse engineering of complex pump components (e.g., impellers, casings) using high-resolution 3D scanners (Artec Space Spider, UE Pro 2) integrated with Geomagic Design X for sub-millimetre CAD accuracy.
• Managed end-to-end procurement and vendor negotiations for advanced engineering hardware/software (MSCOne, Cradle CFD, Design X), and initiated self-guided training programs to operationalize the tools effectively.

Application Engineering

• Provide technical support for pre-sales and tendering, including pump selection, performance matching, and cost analysis for industrial and municipal applications.
• Prepare client-facing technical proposals, specification compliance matrices, and quotations; collaborate with EPC contractors and project stakeholders.
• Conduct market research and feasibility analysis on new service offerings (e.g. desalination skids) to expand value-added services and support business development strategies.

• Conducted materials synthesis, testing, and data collection for a pivotal project, ensuring alignment with objectives and maintaining high-quality standards throughout.
• Collaborated with senior researchers on experiment design and process optimisation, contributing to project advancement and customer-aligned results.
• Utilised analytical tools for data-driven decision-making, documented findings, and effectively communicated results to project stakeholders.

• Conducted energy efficiency audits for 3 precision engineering SMEs, achieving 100% completion rate for level 3 audits and producing comprehensive reports with actionable recommendations.
• Spearheaded data collection using 4+ specialized tools (Flexim flowmeter, Hioki power logger, Fluke sonic imager, Rotronic data logger), ensuring 95% data accuracy across all audits.
• Utilized Microsoft Office suite to compile and analyze data from 100+ data points, contributing to energy-saving recommendations that potentially reduced client energy consumption by an average of 20%.