Daryl Goh
I'm a Senior Systems Engineer at Visa, building and operating
mission-critical systems that power global payments. My work spans cloud-native infrastructure, automation, and distributed systems, ensuring platforms are scalable, observable, and resilient at enterprise scale.
I'm working towards becoming an AI Engineer, driven by a goal to solve real-world problems with AI and ML — building LLM-powered
and multi-agent systems for 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.
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Certifications: NVIDIA-Certified Associate: AI Infrastructure and Operations, Red Hat Certified Developer in AI, HashiCorp Certified: Terraform Associate (003), AWS Certified Solutions Architect Associate, Red Hat Certified Engineer, Certified Kubernetes Administrator
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