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.

Acquired Finance — High-Converting Corporate Website Built by Me.

I designed and developed this WordPress website for Acquired Finance with a strong focus on credibility, clarity, and lead generation — ensuring visitors quickly understand the services and take action.

Project Highlights:

Designed & built by me using WordPress. Strategic layout focused on conversions. Clear service positioning and value communication. Fully responsive across all devices. Structured to guide users toward inquiry and engagement.

This project demonstrates my ability to build results-oriented corporate websites that not only look professional but are strategically structured to build trust, attract clients, and drive business growth.