Damian Liew Cho Xiang

NUS Y3 CS | ex-SRE Intern @ GIC | ex-Huawei | AWS Certified Solutions Architect | ASEAN Scholar

Singapore, Singapore

About

I am a Y2 Computer Science student at NUS with a ASEAN merit scholarship. I am passionate about building reliable, scalable infrastructure that actually makes engineers' lives easier. Currently interning as an SRE at GIC, where I work on observability pipelines, CI/CD automation, and cloud infrastructure using Datadog, Terraform, and AWS. Before that, I spent a summer at Huawei Research Centre building low-latency AI inference frameworks in C++/Python for Ascend NPUs. Outside of work, I am always tinkering on side projects, most recently a SEAB exam paper generator with RAG and auto-marking. I hold an AWS Solutions Architect – Associate certification, and I am actively looking for SRE / infrastructure engineering roles.

Experience

  • SRE Intern at GIC
    Jan 2026 - Present · 7 mos

    - Wrote Python automation scripts and designed CI/CD workflow to automate log config deployment across Windows and Linux hosts - Enabled Control-M observability via Datadog - Terraform with AWS - Developed automated workflow to monitor internal certificates’ days to expiry

  • NUS Fintech Society ()
    • Director of Software Development
      Aug 2025 - Present · 1 yr

      - Manage projects, technical leads and PMs - Secure external collaboration

    • Technical Lead
      Aug 2024 - Aug 2025 · 1 yr 1 mo

      ELEOS: An E-Commerce Website - Developed a streamlined solution for NFS using ReactJS, to streamline processes of selling merchandise - Utilised MongoDB to securely store and organize data; implemented middleware and JWT authentication to ensure privacy and compliance - Designed an intuitive user interface provides a seamless and efficient experience for the customer to set up accounts, browse items, manage cart, and leverage various forms of payment methods

  • Algorithm Engineer Intern at Huawei Singapore
    May 2025 - Jul 2025 · 3 mos

    - Built PyAscpp, a C++/Python framework supporting low-latency LLMs model training on Ascend NPUs, enabling developers to follow PyTorch-style coding while optimising for hardware efficiency - Developed and optimised Python-C ++ API bridges to accelerate AI inference performance, minimising overhead in model serving and deployment

  • Deputy Director of SWE at StartIT - NUS Computing Technopreneurship Society
    Aug 2024 - May 2025 · 10 mos

  • Software Developer Intern at Rajang Digital Solutions
    Mar 2024 - Jun 2024 · 4 mos

    - Developed a full-stack Human Resource System using ReactJS, enabling robust employee management and leave application functionalities. - Managed the back-end using FastAPI and SocketIO for seamless API integrations and real-time updates, with Docker for containerisation and deployment. - Performed security assessments on websites.