
Python, OpenAI, Qdrant, neural recommender
Saudi Tender Intelligence: A Recommender for Public Education Tenders
Saudi Arabia publishes about 100 government tenders a day, in Arabic, and the education ones are easy to miss. I built a tool that scores each new tender with a neural-network recommender and estimates its value, likely competitors and compliance risk. Its scored shortlists inform my work at Pearson, from tender links for colleagues to briefings on the KSA market.



