System Ready • DevOps / SRE

Hi, I'm Akira

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Based in Japan. Focused on AI infrastructure, RAG systems, CI/CD automation, observability, and robust multi-cloud platform operations.

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Focus Areas

Key domains where I apply production-grade infrastructure, automation, and reliability engineering.

AI & RAG Infrastructure

Designing scalable infrastructure for LLM and RAG applications. Experienced in cloud LLM endpoints (Bedrock, Vertex AI), proxy deployment (Cloudflare Workers), and vector databases integration.

CI/CD & DevSecOps

Architecting secure, automated deployment pipelines. Implementing vulnerability scanning, container image signing (Cosign), SBOM generation, and canary releases (Progressive Delivery).

Observability

Establishing comprehensive system observability dashboards. Specialize in configuring Datadog APM/metrics and LangFuse tracing to monitor both traditional systems and LLM application performance.

Tech Stack

Tools, platforms, and languages I use to construct reliable architectures.

AWS Cloud
Azure Cloud
GCP Cloud
Cloudflare Edge / CDN
Vercel Platform
GitHub Actions CI/CD
Docker Container
Terraform IaC
Helm Kubernetes
GHCR Registry
Datadog Monitoring
LangFuse LLM Tracing
Python Language
FastAPI Framework
TypeScript Language
Shell Script Automation
AWS Bedrock AI API
Vertex AI Gemini AI API
OpenAI API AI API
Dify AI Workflow
OpenSearch Vector DB

Featured Projects

A selection of my personal open-source projects focusing on automation, AI, and reliability.

aca-ghcr-cicd-lab

Serverless RAG API backed by FastAPI and Azure AI Search. Deployed via a modern CI/CD pipeline using GitHub Actions, GHCR, Canary releases, image verification with Cosign, SBOM, and full Datadog APM tracing.

FastAPI Azure AI Search GitHub Actions Cosign Datadog

vertex2openai-cf

An OpenAI-compatible API proxy hosted on Cloudflare Workers translating calls to Google Vertex AI Gemini. Features SSE streaming support, multiple authentication mechanisms, key rotation, and AI function calling capability.

Cloudflare Workers Gemini API OpenAI Spec Edge JS

tokyo-transit-monitor

Tokyo train delay monitoring system written in Python. Automatically schedules and runs via GitHub Actions to fetch real-time public transit delays, publish updates to GitHub Pages, and send instant alerts to Synology Chat.

Python GitHub Actions GitHub Pages Synology Chat

Personal Infrastructure Lab

My self-hosted playground and multi-cloud environment where I continuously practice system reliability, security, and networking operations.

Live Lab Console

I operate a hybrid multi-cloud and self-hosted infrastructure environment spanning Cloudflare edge, public cloud environments (Azure & GCP), and dedicated home lab servers (Synology NAS).

The dashboard console on the right actively polls my online endpoints to fetch live availability status and round-trip HTTP latency.

  • Zero Trust access controls restricting sensitive services.
  • Cloudflare Tunnels for secure exposure without open inbound ports.
  • Tailscale private overlay network linking NAS and VPS endpoints.
  • Domain email compliance config (SPF, DKIM, DMARC).
edge-cloudflare
PROBING
DNS, CDN, WAF rules & R2 Storage. Secure Workers routing.
WAF: Blocked 0 Latency: --
cloud-vps-mesh
PROBING
Vercel deployments, Azure & GCP virtual networks.
APM: LangFuse Latency: --
local-synology-nas
PROBING
Private backups, Synology Chat notifications, home services hosting.
RAID: Healthy Latency: --
tailscale-overlay
PROBING
WireGuard-based Zero Trust overlay connecting cloud & home server.
Nodes: 5 Latency: --

Certifications

Professional credentials validating my expertise in cloud architecture, operations, and AI foundation systems.

AWS Certified Solutions Architect

Professional

OCI AI Foundations

Associate | Oracle Cloud

OCI Foundations

Associate | Oracle Cloud