Satoshi Kawasaki

US Citizen • Japanese & Chinese speaker

Satoshi Kawasaki

A self-taught coder who went on to study rocket science, bringing 8+ years of expertise in enterprise software and client-facing roles.

based in San Francisco (Duboce Triangle)

🧑🏻‍💻 My portfolio
🗳️ 2016 Trump vs Clinton

2016 Trump vs Clinton

Check out the visualization project that I built during my tenure at Splunk.

My other code and projects: GitHub

🔐 This site (DevSecOps)
🔁 DevOps

Automated GitHub Actions workflows:

  • ci-cd.yaml: Executes the CI/CD pipeline on pull requests and branch merges to main.
    Click any job (e.g., ✅ misspell) for details or scroll horizontally to view all jobs.
    • Security scanning (codeql, syft-grype, and stackhawk) and lighthouse performance audits are deferred during PRs to optimize pipeline speed and run only upon merging to main.
Diagram of CI/CD workflow

Automated Node.js scripts using Puppeteer (a headless Chrome browser automation library):

🔐 DevSecOps (Security)

Visual Studio Code IDE extensions (including Neovim)

Pre-commit hooks (view .pre-commit-config.yaml)

  • Identical to the VS Code extensions above*
  • Actionlint*
  • Betterleaks
Betterleaks pre-commit

CI workflow jobs

  • Identical to the pre-commit hooks above*
  • Every CI linting job (except html-validate) uses ReviewDog wrappers to post findings as inline PR comments.

Secret scanner

  • Betterleaks : Runs as a dedicated CI job to scan repository history

SBOM (view sbom.cyclonedx.json)

  • Syft: Catalogs dependencies into a CycloneDX manifest

SCA

  • Grype: Scans Syft's SBOM and reports findings via SARIF
  • Renovate† : Proactive dependency updates via automated PRs
  • npm audit: Fails CI on high/critical package-lock.json vulnerabilities

SAST

  • Semgrep†: Lightweight, fast pattern matching for PR feedback
  • CodeQL: Deep semantic data-flow analysis

DAST

  • StackHawk: Scans live Cloudflare Pages preview deployments post-release

AI Code Review

  • CodeRabbit†: Automated PR summaries and context-aware code reviews
CodeRabbit AI Code Review

Edge security & response hardening

  • Enforces CSP, HSTS, X-Frame-Options, and protective headers across all endpoints to prevent XSS, clickjacking, and MIME-sniffing.
  • Managed through OpenTofu rulesets for the production domain (hobbes3.com) and a repository _headers file for *.pages.dev preview environments outside the primary DNS zone.

Zero trust

  • Restricts preview deployments (*.pages.dev) via identity-gated access (either a GitHub SSO login or an email one-time PIN) while keeping production public through OpenTofu rulesets.
  • Still allows StackHawk to scan the preview deployments via Cloudflare access service tokens.
Zero trust with GitHub SSO

* Note: VS Code extensions, pre-commit, and workflow jobs all share the same underlying configuration files.

Note: Integrated via GitHub Apps (instead of defined as a workflow job).

🔑 Secrets management

GitHub repository secrets

  • Encrypts API tokens and securely injects them into GitHub Actions workflows at runtime as environment variables.

terraform.tfvars

  • Defines sensitive variables for local OpenTofu runs while keeping secrets out of the repository via .gitignore.
    • cloudflare_api_token for running tofu commands to modify Cloudflare configurations
    • github_client_secret for GitHub SSO in zero trust
* Note: Client ID is technically not a secret, but co-locating alongside client secret allows cleaner code and a single source of truth.
🏗️ Infrastructure as Code

This repository uses OpenTofu to declaratively manage all Cloudflare infrastructure for hobbes3.com and its subdomains (www, resume, fec).

Declarative infrastructure (view main.tf)

Cloudflare R2 buckets

  • Stores the terraform.tfstate file in a private R2 bucket with native state locking enabled for security, state persistence, and concurrent execution safety.

Automated CI/CD (view drift-detection.yaml)

  • Runs a daily scheduled tofu plan check against Cloudflare API configurations to detect state drift and automatically open GitHub issues for remediation.
⚡ Lighthouse report

Lighthouse is Google's automated tool for measuring web performance, accessibility, and SEO.

Latest Lighthouse score

Click the score above to view the latest Lighthouse audit report. The ring score and metrics are generated on every page build by a Node.js script.
Captured on .

Metric Score Description
FCP 0/10 Measures how fast the first text or image renders on screen.
LCP 0/25 Measures when the main page content has likely finished loading.
TBT 0/30 Measures page unresponsiveness during loading before user interaction.
CLS 0/25 Measures visual stability by tracking unexpected page layout shifts.
SI 0/10 Measures how quickly content is visually displayed during load.
💁🏻‍♂️ My talks

Selected 9 times as a featured speaker for technical sessions across Splunk annual user conferences.

🗣️ "Splunking the 2018 Mid-Term Election"
.conf19 slides video
🗣️ "Get those spreadsheets into Splunk"
.conf19 slides video
🗣️ "Speed Up Your Searches!"
.conf19 slides video
🗣️ "Splunking refugees with help from NetHope and Cisco"
.conf19 slides video
🗣️ "Splunking the 2016 Presidential Election"
.conf17 slides
🗣️ "Splunking to Fight Human Trafficking"
.conf17 slides
🗣️ "Speed Up Your Searches!"
.conf17 slides
🗣️ "Enhancing Dashboards with JavaScript!"
.conf15 files lost 😔
🗣️ "I Want that Cool Viz in Splunk!"
.conf14 files lost 😔

📃 My resume

Downloadable PDF available at resume.hobbes3.com

Satoshi Kawasaki

[email protected] 404-333-2310 San Francisco, CA 94114
hobbes3.com linkedin.com/in/hobbes3 github.com/hobbes3
US Citizen Japanese & Chinese speaker

Summary

A self-taught coder who went on to study rocket science, bringing 8+ years of expertise in enterprise software and client-facing roles. Seeking an individual contributor role to leverage technical depth and direct client engagement in solving complex enterprise problems.

Skills

Languages: Python, JavaScript / TypeScript, SQL, Bash / Zsh, Vim

Infrastructure: Linux, AWS, Docker, DevOps / DevSecOps, System Engineering

AI & Engineering: Full-Stack Web, Machine Learning, LLM, Prompt Engineering

Experience

Family Leave 2021–2026 | Tokyo and Shanghai

Full-time caretaker to my father

  • Maintained technical currency through hands-on development in DevSecOps and Generative AI, building CI/CD security pipelines, containerized microservices, and RAG architectures with local LLMs and vector databases.
Splunk 2013–2020 | San Francisco
  • Selected 9 times as a featured speaker for technical sessions across Splunk annual user conferences.

Senior Engineering Manager

  • Managed engineering execution for Splunk for Good, driving impact and sustaining 30%+ YoY growth in recipient organizations for 3 consecutive years.
  • Led cross-functional teams to ensure high adoption rates and technical delivery across global social impact organizations.

Technical Lead

  • Served as the global technical lead for Splunk for Good social impact initiatives, partnering with nonprofit, academic, and government agencies to architect and implement tailored data analytics solutions.
  • Helped design and launch the $100M Splunk Pledge, a 10-year global initiative delivering software, training, and technical support to social impact organizations.

Professional Services Consultant

  • Advised enterprise customers on custom analytics, complex dashboard design, and advanced data visualizations using full-stack web development skills.
  • Achieved 100% billable utilization during the final 12 months, driven by direct client re-engagements and repeat requests.
CA Technologies 2011–2013 | Atlanta

Associate Services Consultant

  • Specialized in cloud deployments and enterprise process automation using CA AppLogic and CA IT Process Automation Manager.

Education

Georgia Institute of Technology 2007–2011 | Atlanta

B.S. in Aerospace Engineering