Insurance, banking, government, healthcare onboarding, and visa/tax portals with 50-to-200-field conditional multi-step forms frequently lose conversions to validation bugs, broken mobile date pickers, or lost draft progress—and search to hire a freelance React Hook Form, Zod & accessible enterprise form programmer. I am Aldian Fazrihady, a Senior Freelance Full Stack Developer available via Upwork.

Core Enterprise Form & Validation Engineering Capabilities

  • Strict Calendar & Split Date Selector Validation: Engineering split Day/Month/Year dropdowns that dynamically limit day choices based on the selected month and year (accounting for 30-day months and leap years like Feb 29), auto-clamp out-of-range days when changing month/year, and reject impossible dates (such as September 31) in both client and server Zod/Pydantic schemas.
  • Accurate Auto-Save & Draft Persistence Hygiene: Persisting multi-step form drafts to IndexedDB and PostgreSQL with debounced dirty-field tracking—ensuring `"Draft saved"` indicators only appear after active user edits are persisted in the current session (never on initial component mount or while server data is loading).
  • WCAG 2.2 AA Accessible Error Summary & Conditional Logic: Linking inline validation messages via `aria-describedby` and focusing the first invalid field automatically on submit.

Frequently Asked Questions

Why do split Day/Month/Year dropdowns convert better than calendar popovers for Date-of-Birth fields?

Selecting a birth year 40 years in the past inside a monthly calendar popover requires dozens of awkward taps on mobile. Split Day/Month/Year selectors with dynamic leap-year/month-length clamping let users enter dates in 3 quick taps with zero invalid-date errors.

How can we hire you to engineer our multi-step onboarding forms?

Reach out on Upwork.


About the Author — Hire Freelance Programmer Aldian Fazrihady

Aldian Fazrihady is a Top-Rated Senior Freelance Programmer, Freelance Full Stack Developer, and AI Application Engineer with 15+ years of production software engineering experience and Google Cloud Professional Cloud Architect & Data Engineer certifications. He specializes in building custom LLM & autonomous AI agents, RAG pipelines, Next.js/React PWAs, Python (Django/FastAPI), Go microservices, and serverless cloud infrastructure on Google Cloud Run and AWS.

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