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Sievable

A collaborative filter-based search engine powered by machine learning.


  • Trained a neural network to predict whether a natural language filter matches an item description or not.
  • Designed a scalable search engine system including clustering techniques to select search result candidates.
  • Designed a custom MLOps pipeline to automatically pull our datasets from different sources, train our model and deploy it.
  • Developed our own search engine platform allowing users to search, index new content and contribute by annotating data.
  • Created our own cryptocurrency on the Solana blockchain to reward contributors.
  • Using: PyTorch, FAISS, MySQL, Redis, GraphQL, React, Solana JavaScript API, RabbitMQ, Terraform, Docker, Kubernetes, Cloudflare

Demo

Explanery

A simple tool to share knowledge.


  • Using: NextJS, PostgreSQL, TypeORM, Redis, GraphQL
  • Deployed with Vercel
  • Images stored on Cloudinary