my work 🛠️


Summary

Most of my experience involves designing and building automations and integrations in the Observability and AI space. I'm currently open to new opportunities in both full-stack and backend engineering roles where I can apply this expertise to deliver meaningful impact.


Work Experience

Visa

Sr. Software Engineer, July 2025 - Present

Software Engineer, February 2023 - June 2025

Intern, May 2022 - July 2022

Intern, May 2021 - July 2021

  • Spearheaded a suite of AI-driven observability initiatives, including:
    • An intelligent workflow for generating Grafana Dashboard boilerplates in seconds.
    • An AI chat assistant powered by RAG, improving user onboarding efficiency by 75%.
    • An autogen AI agent, capable of shortening incident resolution times by 80%.
    • A log ingestion optimiser, projected to save 30% in licensing cost.
  • Designing and implementing new monitoring capabilities like new exporter support and other API integrations.
  • Optimising alerting workflows and developing new critical integrations like Active-Active Automation.
  • Supported the development of a configuration tool using Git APIs for managing exporter configurations across thousands of servers.
  • Built a Prometheus configuration manager using TypeScript and Go to streamline shared configuration management across VMs and Kubernetes clusters, reducing administrative overhead by 90%.

HTX

Intern, December 2021 - February 2022

  • Assisted engineers in the study of industrial chemical leaks and optimizing the locations of sensor placements at community areas situated near high-risk industrial sites, to enable early detection of hazardous chemical leaks.
  • Researched and implemented Python algorithms to predict and optimize the locations of sensor placements.

Shopee

Intern, December 2020 - April 2021

  • Managed data patching and development projects on Salesforce,com platform using APEX, Lightning, SOQL, and related technologies.

Cisco

Intern, May 2020 - July 2020

  • Researched on OpenCV's object-detection algorithms for pedestrian and vehicle real-time surveillance footage
  • Co-developed a chatbot using Cisco's Webex Teams' API and ngrok that educates users on Covid-19 related insights.

Education

  • Got my B.S in Engineering Science (Mechanical Engineering) and M.S in Science (Technology Management) from Nanyang Technological Unversity (NTU) in 2022.
  • Graduated with a First Class Honors, GPA 4.76/5.
  • For my Final Year Project, I researched and designed a routing and scheduling algorithm to tackle the Vehicle Routing Problem (VRP) in the context of ferry service operations.

Skills

Programming Languages

  • Javascript, Typescript, Go, Python
  • Technologies

  • React, Next.js, Node.js, Redis, MySQL, MongoDB, GraphQL, Kafka, Prometheus, Node Exporter, Ansible, Grafana, autogen, MCP

  • Side Projects

    For a deep dive on the implementations, please check them out on Github.