“Technology that is sufficiently advanced is indistinguishable from magic.”

Hi there 👋 I'm Josiah Mbao, a 4th-year Software Engineer passionate about building intelligent, scalable systems at the intersection of AI, Cloud, and Infrastructure.
I focus on MLOps, DevOps, and Systems Engineering, crafting end-to-end solutions that are resilient, efficient, and impactful — particularly for African innovation ecosystems.

• 🤖 MLOps Engineering: Designing and automating AI model lifecycles on Kubernetes.
• ⚙️ Systems Programming: Building high-performance services with Rust and Go.
• ☁️ Cloud Infrastructure: Deploying distributed applications on GCP & Azure.
• 🔍 Observability & Reliability: Instrumenting systems with Prometheus, Grafana & CI/CD pipelines.

• 🐍 Python: FastAPI · Django · NumPy · Pandas
• 🦀 Rust: Bevy Engine · Tokio · Concurrency & Systems Programming
• 🐹 Go: Networking · Gorilla/Mux · High-performance Services
• 📊 Data & Observability: PostgreSQL · Prometheus · Grafana

• ☁️ Cloud: Google Cloud Platform (GCP) · Microsoft Azure
• 🐳 Containerization: Docker · Kubernetes (K8s · Minikube)
• 🔄 CI/CD: GitHub Actions · GitLab CI/CD
• 🐧 Systems: Linux · Bash · Scripting & Automation

💡 From computer vision (Signo, Ona Vision) to cloud automation (FraudFlow, Cloud Tutorials), my work explores how intelligent systems can scale reliably on cloud infrastructure.

Role: MLOps Engineer
A real-time object detection and monitoring system built with YOLOv8.

• Automated deployment pipelines using Docker & Kubernetes.
• Full observability stack (Prometheus + Grafana).
• Tech: Python · YOLOv8 · FastAPI · Kubernetes · Docker · Prometheus

Role: Cloud AI Developer
Transforms unstructured documents into meaningful insights using Google Cloud’s Document AI.

• FastAPI backend with containerized microservices.
• Tech: Python · GCP · Document AI · Docker · FastAPI

Role: AI Developer
A real-time gesture recognition app using Streamlit, OpenCV, and MediaPipe.

• Detects hand gestures for interactive control.
• Tech: Python · Streamlit · OpenCV · MediaPipe

Role: MLOps Engineer
A credit card fraud detection system demonstrating a complete MLOps lifecycle — from model training to monitoring.

• Implements continuous training and inference pipelines.
• Tech: Python · FastAPI · Docker · MLflow · Kubernetes

Role: Technical Writer & Maintainer
An open-source learning hub for foundational Cloud, Linux, and DevOps concepts.

• Built with Astro & MDX for interactive documentation.
• Tech: Astro · MDX · Markdown

🔥 446+ contributions in the past year
🧩 Active in: MLOps · DevOps · Systems Programming
💬 Contributor to: @devops-usiu community

⭐ "Building systems that empower innovation, one deploy at a time."