Raouf Chebri is a software engineer based in Geneva with seven years of hands-on development experience and an MBA background. He blends practical engineering with growing expertise in machine learning, deep learning, and computer vision, positioning himself at the intersection of product-minded development and AI research. Comfortable shipping software across the stack, he leverages business acumen from his MBA to align technical solutions with strategic goals. Though early in his ML journey, he actively builds relevant skills and seeks opportunities to apply computer vision techniques to real-world problems.
Hierarchical Navigable Small World (HNSW) algorithm for vector similarity search in PostgreSQL
Contributions:2 reviews, 2 PRs, 11 pushes in 1 year 3 months
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