Local-first Accessibility Engineering
Luna Glass
An accessibility platform designed for low-vision workflows using local OCR, offline speech, semantic accessibility APIs, and privacy-first engineering.
Public extension of Luna
Building systems that turn work into visible proof.
This site is the public-facing layer of Luna: a static portfolio that shows active systems, exported build updates, proof-backed reporting, and the project lineage behind how those systems were built.
Active publication workflow
Static + GitHub Pages
Export-driven updates
System-builder orientation
Static
Free, GitHub Pages-safe stack
Live
Export-driven build log is active
Proof
Reports, assets, and visible outputs
Featured Engineering Case Studies
Deeper technical stories behind the current systems.
These focused case studies give hiring managers a faster path into the architecture, tradeoffs, and implementation boundaries behind the portfolio.
Production Infrastructure & Runtime Architecture
Lucid Vision Dockerization
A systems engineering case study covering Docker runtime isolation, source ownership, validation gates, rollback strategy, and production deployment architecture.
About Luna
More than a name: this is how I build.
Luna is the operating philosophy behind my projects: accessible by design, structured in execution, and built to create measurable momentum.
Luna is more than a name, it represents how I work and how I build.
As someone who is visually impaired, dark mode and accessibility-first design are essential to my workflow. The space-inspired, lunar theme reflects both that practical need and a broader philosophy.
The moon often feels close but just out of reach, a metaphor that resonated with me as I worked toward building the career and systems I wanted. Luna became my way of turning that idea around: building structured systems that help me close that gap and move toward independence, clarity, and momentum.
Today, Luna is my personal engineering workspace where projects, reporting, automation, and analytics come together into one system.
What this signals for hiring
Accessibility is integrated into implementation decisions, not bolted on.
Systems are built for repeatability: ingestion, transformation, proof, publication.
Every project is oriented toward visible outcomes and operational clarity.
MLB Proof Images
Current division standings snapshots (real data).
These are rendered from live MLB data and published as static images for reliable recruiter viewing.
AL East (Image 1)
AL East (Image 2)
AL Central (Image 3)
AL West (Image 4)
NL East (Image 5)
NL Central (Image 6)
NL West (Image 7)
Pinned Projects
The repos that represent the core workflow.
This section is intentionally curated as the source of truth for what should stay pinned and visible for resume review.
Active Systems
The systems that define the current build.
Luna is the center of gravity. Wallet Engine, Retail Simulator, and Career Engine show the adjacent systems shaping the broader stack.
Latest Public Updates
An exported build log, not a dead portfolio.
This section reads from posts/posts.json, so Luna can keep publishing outward-safe work without hand-editing the homepage.
Certification
Google Data Analytics Professional Certificate
Restored as a first-class portfolio item so credentials remain visible during hiring review.
Credential
Google Data Analytics
Professional certification covering analytics process, SQL, data cleaning, visualization, and reporting communication.
Proof Layer
Screens, reports, and artifacts that back up the work.
Keep the evidence compact and high-signal: enough to validate execution quality without drowning the homepage in embeds.
Featured proof
Current public walkthrough
The walkthrough video anchors the page with a quick visual pass across the current project surface and portfolio behavior.
This portfolio is optimized to show systems thinking quickly.
Recruiters and hiring managers should be able to see, fast, that the work is not just decorative. The point is to make the operational shape visible: automation, reporting, structured output, public-safe publication, and repeatable build discipline.
Reader value
Fast scan: clear sections, metadata chips, and compact proof.
High signal: systems, outputs, and workflow impact over vague self-description.
Credibility: active updates prove the stack is alive.
Legacy / Origins
The projects that became the foundation for Luna.
This is the lineage layer: foundation systems, early experiments, and learning systems that made the current build possible.
System-builder with analytics and accessibility discipline.
I build automation, reporting, and workflow systems that make information easier to trust and easier to act on. Core tools include Python, SQL, BigQuery, reporting layers, GitHub, and static publication paths that can keep shipping without a backend.
Keywords
Python
SQL
BigQuery
Looker Studio
Accessibility
Automation
Static publishing
Contact
Reach out for system, data, or reporting roles.
Email is the fastest path. Resume, LinkedIn, and GitHub stay one click away.