Frontend delivery across early-stage SaaS products, dashboards, and workflow-heavy tools.
ControlTech
Startup Studio Frontend Delivery
A startup studio, so the work spanned several early-stage products rather than one flagship app. This is where the habits came from: turning vague requirements into something shippable, and building it so the next product could reuse the parts.
- React
- TypeScript
- PWA
- Testing
- CI/CD
Context
The products differed, but the constraints repeated: small teams, moving scope, unreliable networks in the field, and release cycles short enough that a regression in a core flow was expensive within days. I worked across the frontend/backend boundary where API integration required it.
Problem
Early-stage products accumulate fragile UI because everyone is moving fast and the requirements keep changing underneath them. Without reusable patterns and automated checks, workflow-heavy interfaces get harder to ship every release, and eventually nobody trusts a deploy without manually walking the flows.
Diagram
Shipping fast without guardrails vs building them early
Guardrails as later cleanup
- Fragile UI accumulates as requirements change underneath it
- Workflow-heavy interfaces get harder to ship every release
- Nobody trusts a deploy without manually walking the flows
- Each product rebuilds the same patterns
Guardrails from the start
- Reusable patterns and validation invested in early
- Critical paths covered by Jest, React Testing Library, Playwright, and Cypress
- CI/CD checks around primary product paths
- Frontend patterns carried between products
My role
- Frontend implementation, workflow design, and release quality across several products.
- Built PWAs, dashboards, and form-heavy interfaces from MVP through production, often with little spec to start from.
- Added the test automation and CI/CD checks that covered core workflows.
What I built
- Workflow-heavy interfaces with validation, multi-step processes, and async state handling.
- PWAs for products that had to keep working on unreliable connections.
- Automated coverage of the critical paths with Jest, React Testing Library, Playwright, and Cypress.
- API integrations, and the reusable frontend patterns that carried between products.
Technical decisions
Decision
Invest in reusable patterns and validation early instead of treating them as cleanup for later startup phases.
Why
Fast-moving products need guardrails before the complexity compounds across multiple releases.
Trade-off
Building those foundations takes time away from short-term feature work.
Result
Core workflows stayed easier to ship repeatedly without depending only on manual verification.
Decision
Use CI/CD quality checks to support release cadence instead of relying on ad-hoc final verification.
Why
Workflow regressions are expensive when multiple products are shipping under small-team conditions.
Trade-off
Automation setup adds maintenance and sometimes slows down rapid iteration in the short term.
Result
The delivery process had more consistent quality signals around primary product paths.
Diagram
Release path for workflow-heavy products
Select a step to see what happens there.
Step 1 of 5
Reusable patterns
Build workflows on shared validation, multi-step, and async-state patterns.
UX and detail decisions
- Treated validation, retries, and async state handling as core interaction design concerns.
- Designed flows that remain readable under slow-network or unstable conditions instead of assuming ideal connectivity.
- Prioritized predictable workflows over visually clever one-off implementations.
Outcome
- Shipped frontend work across multiple early-stage products, MVP through production.
- Raised the testing and release-quality baseline on workflow-heavy interfaces.
- Built the breadth that later turned into end-to-end product ownership.
What I would improve
- Capture more project-specific examples so individual product engagements can be represented separately in the portfolio.
- Extend the evidence set with more screenshots or implementation artifacts where public sharing is possible.