Singapore
Computer Science undergraduate specialising in Artificial Intelligence with hands-on experience in AI/ML model development, data analysis, and full-stack prototyping. Strong background in Python, deep learning frameworks, and cloud-based deployment. Experienced in agile development and cross-functional teamwork.
• Supported a team of in-house Developers in implementing AI models within the Palantir Foundry test environment (Skywise) through research and prototyping of information retrieval concepts using AI/LLMs, • Performed data analysis and developed prototypes, workflows, and dashboards in Palantir Foundry using Python and JavaScript, based on internal and external customer problem statements and use cases • Collaborated with an AI engineer to develop and enhance both the front-end and back-end of an aircraft defect classification tool prototype to be used by aircraft maintenance engineers • Built and deployed a UI component for a machine learning-based classifier that maps defect descriptions to ATA chapters, streamlining root cause analysis for aircraft faults • Contributed to agile development tasks as a Scrum team member, participating in daily stand-ups, sprint planning, and feature implementation over 16 weeks