Accessible sign-in and sign-up flow for a wellbeing-focused SaaS concept, designed in Figma with token-based foundations to meet WCAG 2.1 AA while keeping a calm, modern visual language.​

It includes fully documented states (default, error, success), keyboard and screen-reader-friendly patterns, and reusable form components ready for development handoff.

Check it out

Really nice balance between accessibility and visual calm here. Designing auth flows that meet WCAG while still feeling modern is harder than it looks.

Problem: Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals.

Solution: This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.

Very real problem. Manual invoice processing is still surprisingly common and becomes a huge bottleneck as companies scale. Automating extraction and validation with AI can save a lot of operational time and reduce errors significantly.