Lock Hian Phua

Penultimate NUS Computer Engineering | Engineer | Musician | Translator (CN <​> EN)

Singapore

About

Hi! I'm a penultimate Computer Engineering undergraduate at NUS, with a double minor in Translation and Performing Arts. My experience spans AI/robotics R&D, applied AI evaluation and product exploration, industrial systems engineering, and qualitative research in healthcare, giving me a strong foundation across both technical and human-centered problem-solving. I am also an active translator and musician. I have been translating since 2021, including volunteer work as a Singapore Citizen Translator (Enhanced Tier). I translate articles, pop-culture content, interviews, and government materials, and have been recognized with the Wan Boo Sow Translation Prize. I seek to stay active in the community ensemble scene and would be happy to discuss collaborations. If you’re building something meaningful in tech, language, or the arts, or better yet, a combination, I’d be happy to connect.

Experience

  • Solution Engineering and Application Development Intern at Ministry of Home Affairs Singapore
    May 2026 - Present · 2 mos

  • Media Production Crew at National University of Singapore
    Nov 2025 - Mar 2026 · 5 mos

    - Production Lead for Undergraduate Research Experience Programme - Ensure consistent style across volunteer crew. providing suggestions and feedback on work and set logistics - Assisted in scriptwriting, videography and lighting

  • Transcriber, Translator at Lee Kuan Yew School of Public Policy
    Dec 2025 - Jan 2026 · 2 mos

    - Transcribed interviews, including translation to English where needed - 24h turnaround for over 10k words

  • Intelligent Robotics Intern at A*STAR Institute for Infocomm Research (A*STAR I²R)
    May 2025 - Aug 2025 · 4 mos

    Project: Physical human-robot interaction for motion planning/control A*STAR Research Internship Award (ARIA) recipient - Furthered R&D efforts in robotic mobile manipulation and Human-Robot Interaction (HRI) by implementing, evaluating, and refining systems involving multimodal Large Language Models (LLM) to enhance robot capabilities and user interaction - Collaborated with multiple project teams to build two intelligent robotic systems with multiple functioning versions such as using Model Context Protocol (MCP) - Implemented simulation environments in Pybullet and NVIDIA Isaac Sim including robot controller system for the latter, as well as front-end Gradio UI

  • AI Intern at Temus
    Aug 2024 - Nov 2024 · 4 mos

    • Collaborated with 2 in crafting AI Thought Leadership and feature development roadmap decks, involving identification of established industry benchmarks for AI evaluation and both public and private competitor analysis • Carried out user testing and data verification of more than 10 entries for AI grant evaluation website to roll out on same day • Tested AI models and prompt management tools to determine suitability of use