Hi there. Thanks for your posting.
The skills and experience are an ideal match to me. I have rich experience in ML, Hybrid Search, Virtual Try-on Network, NLP, Pinecone, Python and PHP.
Let me explain prior experience.
1. I have improved eCommerce functionality using Hybrid Search.
Hybrid vector search is combination of traditional keyword search and modern dense vector search. It has emerged as a powerful tool for e-commerce companies looking to improve the search experience for their customers.
By combining the strengths of traditional text-based search algorithms with the visual recognition capabilities of deep learning models, hybrid vector search allows users to search for products using a combination of text and images. This can be especially useful for product searches, where customers may not know the exact name or details of the item they are looking for.
I have implemented that using Pinecone's new sparse-dense index for e-commerce or in any other context.
2. I have implemented Virtual try-on technology on eCommerce platform.
Online shopping puts millions of products at consumers' fingertips. However, there's a risk of receiving items that don't fit or look as stylish as they had imagined.
According to Snap's Global Product Marketing Lead, businesses lose up to $550 billion annually to customers returning items, and
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If you need my help, please ping me.
Thanks.