DevOps & Backend Engineer
I design, deploy & operate scalable cloud-native systems.
Shipped projects
Top 8 AIoT InnoWorks 2025
TOEIC
AWS Academy
▋// 01 — Who I am
apiVersion: v1
kind: Engineer
metadata:
name: la-huy-hoang
role: DevOps & Backend Engineer
spec:
location: "Gò Vấp, Ho Chi Minh City"
education: HCMUTE
status: Ready
replicas: 1apiVersion: v1 kind: Engineer metadata: name: la-huy-hoang role: DevOps & Backend Engineer spec: location: "Gò Vấp, Ho Chi Minh City" education: HCMUTE status: Ready replicas: 1
DevOps & Backend Engineer
Recent IT graduate (HCMUTE) focused on automating, deploying and operating reliable cloud-native systems. I bridge development and operations — building robust infrastructure, CI/CD pipelines and IaC for distributed systems.
// certifications
// 02 — $ kubectl get skills
$ kubectl get skills → no errors
$ cat philosophy.md
# how I think about the craft
> I automate the boring parts so the interesting parts ship faster.> If it isn't in code, it didn't happen — config is reality.> I'd rather write 200 lines of Terraform than click one button.> Pipelines green, pager quiet, sleep uninterrupted.$ whoami --verbose
$ git log --oneline --reverse
From C# desktop apps to cloud-native systems on Kubernetes — the growth arc, told through real commits.
Won 1 first prize and 1 second prize in science and engineering competitions, while also taking part in the informatics olympiad.
Started with C# desktop apps — OOP, WinForms and SQL Server.
Dug into DSA in C++ and shipped management systems end-to-end.
Java/Spring backends + Python AI services (Whisper, Phi-3, YOLOv11), then TypeScript microservices.
Production on Kubernetes + Terraform + GitLab CI/CD, and exploring Go for AI orchestration (eino).
// 03 — # pipeline: build → test → deploy
# pipeline: build → test → deploy
// 04 — $ kubectl get pods
Brand's social media AI-powered management tool
Production-ready 3-service platform for AI-generated post content and simultaneous publishing across multiple platforms, with scheduled publishing, analytics, a unified inbox, and AI-assisted reply support. Live on socialflow.io.vn and deployed with Terraform, GitLab CI/CD, Kubernetes, AWS ECR/S3, Traefik, and Cloudflare SSL.
🏆 A grade — Graduation thesis
Real-time drone surveillance & flood rescue system
Distributed microservices backend handling massive real-time drone data streams. Low-latency (<500ms) P2P video via WebRTC, GPS sync over WebSockets, Dockerized services. Decoupled AI analytics: YOLOv11 for object detection, Whisper for speech-to-text, Phi-3 as the reasoning SLM.
🏆 Top 8 — AIoT Developer InnoWorks 2025 (Southern)
Automation platform for teachers
Teacher-focused automation platform with drag-and-drop workflows, class management, auto-grading, AI content generation, and analytics, packaged with Docker Compose for reproducible local setup.
🏆 A grade — Specialized project
// 05 — socialflow.yaml
How SocialFlow is wired end-to-end — edge to destinations, provisioned as code.
Client
Edge
Ingress
Core services (K8s)
Data & registry
Destinations
// 06 —
Open to DevOps / Backend opportunities.
$ curl -X POST contact/hoang \
-H "Intent: hiring"
{ "response": 200, "msg": "Let's talk" } ✓