I design, ship, and operate the infrastructure that turns models and ideas into dependable production systems. My work spans CI/CD automation, self-hosted infrastructure, MLOps, and end-to-end observability — keeping ML services, data pipelines, and developer environments fast, reliable, and reproducible.
I move comfortably across the stack: DevOps & platform engineering, AI/ML engineering, and full-stack web — from the first commit to a monitored, deployed release. Beyond engineering, I'm driven by a long-term curiosity for cloud & cybersecurity, quantitative finance, investing, and entrepreneurship, and I'm always looking for hard problems where reliable systems create real leverage.
name: "Vo Trong Nhon"
role: "DevOps Engineer"
based_in: "Ho Chi Minh City, Vietnam"
field: "B.Sc. in Data Science"
philosophy: "Automate everything that can be automated."I'm a DevOps engineer who loves building and running the systems that let teams ship with confidence — from CI/CD and self-hosted infrastructure to MLOps, observability, and production operations. I also build AI applications and full-stack web products end-to-end, and I'm steadily exploring quant finance, investing, and entrepreneurship on the side. |
Focus Areas
Currently
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| votrongnhonwork29324@gmail.com | in/maximus-nhon | ||
| GitHub | @nhonhoccode | maximus.vtn | |
| Location | Ho Chi Minh City, Vietnam | Open to | DevOps · MLOps · AI Engineer · Data Science · Full-stack roles |
AWS Academy Cloud Foundations & AI |
IELTS Overall Band 5.5 |
Always Learning More certifications in progress |
COMPETITION HONORS
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 Platform & Infra |
Proxmox VE · pfSense · Nginx Proxy Manager · aaPanel · DirectAdmin · Bunny.net · DNS / SSL · Reverse proxy |
 MLOps & Data |
MLflow · Airflow · Prefect · DuckDB · DBeaver · Pandas · Jupyter · SQL Server · Power BI |
 ML Toolbox |
XGBoost · LightGBM · OpenCV · ViT / Transformers · Ensemble methods |
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More projects (VLSP 2025, ETL, and more)
- ViAMR — VLSP 2025 — Vietnamese AMR / semantic parsing (Top 2 Semantic Parsing, Top 6 Numerical Reasoning QA).
- Customer Propensity to Purchase — Airflow-orchestrated ETL + Dockerized batch pipeline with a prediction UI.
- Intro to Data Science Project — end-to-end data science coursework project.
NYC Taxi Demand — MLOps Pipeline
flowchart LR
A["Raw NYC Trip Data<br/>~25 GB"] --> B["Ingestion &<br/>Cleaning"]
B --> C["Feature Engineering<br/>temporal · lag · rolling · spatial<br/>263 zones"]
C --> D["Model Training<br/>ensemble"]
D --> E["MLflow<br/>experiments + registry"]
E --> F["Serving API"]
F --> G["Hourly Demand<br/>Predictions"]
P["Prefect<br/>orchestration"] -. schedules .-> B
P -. schedules .-> D
F --> M["Prometheus + Grafana<br/>monitoring · drift"]
M -- drift detected --> D
CI["GitHub Actions<br/>CI/CD"] -. deploy .-> F
classDef accent fill:#2C9EF7,color:#ffffff,stroke:#1b6fb3,stroke-width:1px;
class C,E,M,P accent
Self-hosted DevOps Infrastructure
flowchart LR
U["Users / Internet"] --> CF["Cloudflare<br/>DNS · SSL · WAF"]
CF --> FW["pfSense<br/>Firewall"]
FW --> RP["Reverse Proxy<br/>Nginx PM · aaPanel · DirectAdmin"]
RP --> PVE
subgraph PVE["Proxmox VE Host"]
DEV["Dev Env"]
INT["Internal Tools"]
PROD["Production Apps"]
GL["Self-hosted GitLab<br/>CI/CD + Runners"]
end
GL -- deploy --> PROD
BN["Bunny.net<br/>CDN"] -. delivery .-> U
classDef accent fill:#2C9EF7,color:#ffffff,stroke:#1b6fb3,stroke-width:1px;
class CF,FW,GL,PROD accent
- Operate Proxmox VE for developer, internal & production environments
- Manage pfSense, Cloudflare, DNS, SSL & reverse-proxy publishing (Nginx Proxy Manager, aaPanel, DirectAdmin)
- Built self-hosted GitLab CI/CD & internal automation for deployment and routine ops
- Resolved server, networking & runtime issues to improve uptime
- Built business web apps (e-commerce storefronts, internal workflow systems) end-to-end
- Managed Docker production rollout + domain / DNS / SSL / reverse-proxy & traffic protection
Thanks for visiting — let's build reliable systems together.