Postdoctoral Researcher
- Led Collaborative Projects: Spearheaded academia-industry projects involving Computer Vision and Multi-Agent Reinforcement Learning, collaborating with external partners such as IMDA and DSTA.- Team Leadership: Directed and managed teams of PhD students, delegating tasks effectively and ensuring timely completion of project milestones.- Problem-Solving: Facilitated discussions with team members to identify and resolve project issues, promoting innovative solutions and technical problem-solving.- Code Validation: Conducted thorough reviews and validations of team members' code, ensuring accuracy, efficiency, and adherence to best practices.- Project Coordination: Coordinated activities with external industry partners, overseeing project scoping, data preparation, and model development phases.- Research Support: Provided guidance and support to team members on research projects involving Multi-Agent Reinforcement Learning and Large Language Models.- Communication Skills: Maintained regular communication with external partners to align project goals, expectations, and deliverables, fostering strong industry-academic relationships.- Technical Expertise: Applied advanced knowledge in Computer Vision and Reinforcement Learning to develop and refine models, contributing to the success of collaborative projects.- Accomplishments: Successfully delivered project outcomes that met stakeholder requirements, demonstrating practical applications and impact of advanced machine learning techniques.