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Matthew BobackBackend & Platform Engineer

Case Studies

Shipped work, filtered by the systems and surfaces behind it.

These writeups are meant to be skimmed by a hiring manager and interrogated by an engineer. They start with product proof, then move into architecture, tradeoffs, and delivery detail.

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Capabilities

StageFlow homepage hero showing the product promise and live scan summary.
productionFeaturedSolo
StageFlow
Self-hosted website scan workbench with live execution visibility and evidence-rich unified reports.

I built a self-hosted scan workbench that runs eight scanners against live URLs or ZIP builds, streams job state over SSE, fingerprints each issue with a 12-character SHA-256 hash, and merges deduplicated findings into one report with page-level evidence.

8

Built-In Scanners

3

User Phases

8

Durable Consumers

3

Audience Modes

Self-HostedJetStreamRootless PodmanSSEUnified ReportCLI
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AlchemizeCV marketing hero promising role-ready resumes from one master profile.
productionFeaturedSolo
AlchemizeCV
Job-search workflow platform that turns a master profile into tailored resumes, grounded project bullets, and tracked applications.

Built a job-search workflow platform that turns one master profile into tailored resumes, grounded project bullets, and tracked application runs through a replayable four-phase generation pipeline.

4

Pipeline Phases

3

Job-Hunt Surfaces

<1s

Render Time

2

Provider Paths

Context PruningContent HashingReact + VikePlaywright PoolAST RedactionWebSocket
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productionSolo
Clear11y
Containerized accessibility scanner for pre-deployment static site testing.

Clear11y scans ZIP archives of static site builds for WCAG 2.1 violations before deployment. It runs axe-core (90+ rules) and a custom keyboard navigation engine inside Docker containers, producing scored reports with screenshots. The CLI, FastAPI REST API, and GitHub Action all call the same Pipeline class.

9.3K

Python LOC

90+

axe-core Rules

7

Pipeline Stages

5

Arch Layers

Docker-FirstCLIREST APIGitHub ActionWCAG 2.1Keyboard Testing
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productionSolo
ContextStrategies
Turn any codebase into AI-ready context with drift-safe tooling.

15.6K

Python LOC

9

Analyzers

4

UI Surfaces

v5.0.0

Version

CLITUIFastAPIStreamlitOpenRouterDuckDB
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productionSolo
DisplayAnalysis
Detect the display artifacts that cause eye strain.

I built DisplayAnalysis to detect screen artifacts that cause eye strain and headaches: PWM flicker, temporal dithering, brightness non-uniformity. It processes video recordings using FFT analysis, Welford's online algorithm, and CIELAB color science, then produces a risk-assessed PDF report. Every measurement is numeric, every threshold is explicit, and every risk rating has a specific number behind it.

3.8K

Python LOC

154

Tests

480Hz+

Video Support

9

PDF Pages

CLIGUIFFTCIELABWelford's AlgorithmPDF Reports
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5 of 5 case studies shown