Abdul Samad Siddiqui is a third-year undergraduate student pursuing a major in Software Engineering. He is deeply passionate about contributing to open-source projects. He has been actively involved in the technology and open-source communities for two years and has made significant contributions to projects. He was selected under the Open Mainframe Project at the Linux Foundation, where he worked on the Zowe Python SDK and gained valuable insights into open-source best practices.

Samad is dedicated to making contributions to open-source projects, and he has been working on the Helmholtz Analytics project. His focus in this project is on HEAT, which is a distributed tensor and machine learning framework that uses GPU and MPI acceleration in Python. In addition, he is collaborating on a research-based project with a professor from the Technical University of Munich on Graphnet. The project's emphasis is on Graph neural networks for neutrino telescope event reconstruction.

Samad is dedicated to the ethos of open-source and aims to revolutionize the process. He advocates for free LLM embeddings to encourage collaboration and prevent monopolies. He has notable achievements, including creating Querypls, a prompt-to-SQL LLM model with a web interface. Langchain recognized it, and it was featured as a community-favorite open-source project.