Daryl Goh
I'm a Senior Systems Engineer at Visa, building and operating
mission-critical systems that power global payments.
My focus is on cloud-native infrastructure, automation, and distributed systems,
building platforms that are scalable, observable, and resilient at enterprise scale.
I'm also actively building AI-driven systems, exploring how
LLMs and multi-agent architectures can transform industries like
healthcare, finance, and productivity.
Currently enrolled in Stanford's Artificial Intelligence Professional Program, deepening my expertise in machine learning, deep learning, and modern AI systems.
More About Me:
Linkedin |
Github |
Medium |
Digital Badges |
Google Cloud Profile
I'm a Senior Systems Engineer with a strong foundation in cloud infrastructure, automation, and software development, now focused on building AI-driven systems.
Over the past few years, I've worked across AWS, Kubernetes, and distributed systems, while independently developing applications that combine LLMs, data systems, and real-world use cases.
My credentials include:
- AWS Certified Solutions Architect Associate
- Red Hat Certified Engineer
- Certified Kubernetes Administrator
Currently working on: Building my own multi-agent application using Langgraph and LLMs.
I am currently a Section Leader in Stanford University's Code in Place program, where I mentor students in Python programming and software development.
I share my experiences, insights, and learnings with the tech community on Medium, hoping to inspire and learn from others.
When I'm not geeking out, you can find me:
- Traveling to new places and experiencing different cultures (15 countries and counting!)
- Hunting for the next big stock market opportunity
- Getting lost in a good book
AI Tools & Technologies: OpenAI GPT, Claude, GitHub Copilot, LangChain, CrewAI
Cloud & Infrastructure: AWS, GCP, Kubernetes, OpenShift, Docker, Podman
Infrastructure as Code & Automation: Terraform, Ansible, Python, PowerShell
Programming: Python, Java (Spring Boot), TypeScript, JavaScript
Frontend: HTML, CSS, Angular
Databases: MySQL, MongoDB, Redis, ClickHouse
Monitoring & Visualization: Prometheus, Grafana, Tableau
- Building AI systems that solve real-world problems (especially healthcare, finance & productivity)
- Designing scalable, observable cloud architectures
- Exploring multi-agent systems and autonomous workflows
- Bridging software engineering with AI innovation
