Evidence first
CI + smoke
Every public surface should connect to tests, live routes, docs, and a clear interview story.
A compact view of the stack, tools, quality gates, and product-building habits I use to turn portfolio projects into credible engineering artifacts.
Current operating mode
The priority is to make every public project easy to inspect: live demo, GitHub repo, README, architecture note, tests, CI, and interview-ready tradeoffs.
Principles
Evidence first
Every public surface should connect to tests, live routes, docs, and a clear interview story.
Product-grade UI
Prefer readable workflows, stable layouts, accessible controls, and interfaces that feel useful after the demo.
Typed boundaries
Use TypeScript, schemas, route contracts, and replaceable adapters so projects can grow without rewrites.
Ship loop
Build the smallest real product slice, validate it locally, deploy it, document the tradeoffs, then iterate.
Workflow
01
Name the product problem, recruiter signal, core route, and validation path before adding UI.
02
Build a typed data model, one polished workflow, and enough architecture to explain tradeoffs in an interview.
03
Run unit checks, production builds, browser smoke, visual screenshots, and live endpoint checks.
04
Update README, architecture notes, release checklists, and portfolio case studies while the decisions are fresh.
Stack
The public portfolio is optimized around static routes, strong metadata, typed content, polished responsive UI, and recruiter-readable case studies.
Flagship apps model real SaaS boundaries: authenticated requests, streaming workflows, replaceable repositories, rate limits, and audit trails.
Data choices are picked for the workflow: durable history where it matters, fast local state for dense UI, and virtualized rendering for large tables.
Component work is treated like product infrastructure: clear APIs, keyboard behavior, package metadata, docs, and visual smoke coverage.
The default quality gate is audit, lint, typecheck, unit tests, production build, and browser smoke tests before shipping public changes.
AI and realtime projects are built around observable behavior: eval reports, stream states, event contracts, and demo-safe fallbacks.
Now
This is the current workbench: small product bets, public proof, and fewer unsupported claims. The goal is a portfolio that gets stronger under inspection.
Proof
Finance dashboard
Design & build
Component library
Design & build
Frontend security playground
Design & build
Realtime trading interface
Design & build
Runtime security agent
Design & build
AI workflow product
Design & build