first draft qsoc announcement

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title: "QSoC 2024: Selected Interns Announced"
draft: false
slug: qsoc24-interns-announcement # Change this slug to your page slug if needed
short_description: We are pleased to announce the selection of interns for the inaugural Qdrant Summer of Code (QSoC) program. # Change this
description: We are pleased to announce the selection of interns for the inaugural Qdrant Summer of Code (QSoC) program. # Change this
preview_image: /blog/qsoc24-interns-announcement/qsoc.jpg # Change this
social_preview_image: /blog/qsoc24-interns-announcement/qsoc.jpg # Optional image used for link previews
title_preview_image: /blog/qsoc24-interns-announcement/qsoc.jpg # Optional image used for blog post title
# small_preview_image: /blog/Article-Image.png # Optional image used for small preview in the list of blog posts
date: 2024-05-08T16:44:22-03:00
author: Sabrina Aquino # Change this
featured: false # if true, this post will be featured on the blog page
tags: # Change this, related by tags posts will be shown on the blog page
- QSoC
- Qdrant Summer of Code
- Google Summer of Code
- vector search
---
We are excited to announce the interns selected for the inaugural Qdrant Summer of Code (QSoC) program! After receiving many impressive applications, we have chosen two talented individuals to work on the following projects:
**(Jishan Bhattacharya)[https://www.linkedin.com/in/j16n/]: WASM-based Dimension Reduction Visualization**
Jishan will be implementing a dimension reduction algorithm in Rust, compiling it to WebAssembly (WASM), and integrating it with the Qdrant Web UI. This project aims to provide a more efficient and smoother visualization experience, enabling the handling of more data points and higher dimensions efficiently.
**(Celine Hoang)[https://www.linkedin.com/in/celine-h-hoang/]: ONNX Cross Encoders in Python**
Celine's project focuses on porting cross-encoder ranking models, such as Sentence Transformers, ColBERT, and BGE, to the ONNX format while retaining performance. Successful completion of this project will expand Qdrant's capabilities to support ONNX models, significantly improving its versatility and efficiency in handling ranking-sensitive tasks.
We look forward to working with Jishan and Celine over the coming months and are excited to see their contributions to the Qdrant project.
Stay tuned for more updates on the QSoC program and the progress of these projects!