DevOps & Cloud Engineer based in Sydney, Australia.
I build and operate AWS infrastructure for early-stage AI/ML platforms — owning everything from VPC design and IaC through CI/CD, observability, and cost control. Currently the sole DevOps engineer at an AI startup, where the platform runs on a sub-$2K monthly cloud budget across UAT and production environments.
- Cloud: AWS (EC2, Lambda, RDS, S3, VPC, IAM, CloudWatch, SSM, ECR, CloudFront)
- IaC: Terraform, Pulumi, OpenTofu, AWS CDK, Ansible
- CI/CD: GitHub Actions, Bitbucket Pipelines, Jenkins
- Containers: Docker, Kubernetes, ECS
- Observability: Prometheus, Grafana, Loki, CloudWatch, Fluent Bit, Datadog
- AI/ML adjacent: LangChain, Qdrant, RAG pipelines, LangSmith, embedding models
Most of my work lives in private repositories — production infrastructure, client codebases, and internal tooling. This profile is intentionally light on public code.
If you're a recruiter or hiring manager, I'm happy to walk through:
- AWS architecture decisions and trade-offs I've made
- IaC patterns (Terraform vs. Pulumi, when to use each)
- CI/CD pipeline design for multi-service backends
- Observability stack migrations (ELK → Grafana ecosystem)
- Cost-control strategies for early-stage startups
The best place to start a conversation is LinkedIn or email at yibow1226@gmail.com.
- 🎓 Master of Data Science, University of Sydney (NLP & deep learning)
- 🎓 Bachelor of Electrical & Electronic Engineering, University of Adelaide
- 🛠️ ~6 years industrial control systems engineering before transitioning into DevOps
- 🇦🇺 Sydney-based, full working rights
- LLMOps and RAG infrastructure at production scale
- Self-managed MongoDB on EC2 with Docker (migration from Atlas)
- Heterogeneous & decentralised compute orchestration
Happy to chat about platform engineering, AI infrastructure, or the migration from electrical engineering into cloud. Reach out.