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All the Git-it Workshop completers!

Home Page: http://jlord.github.io/patchwork

License: Other

CSS 11.68% HTML 51.10% Python 0.02% Rich Text Format 30.17% Handlebars 7.02%

patchwork's Introduction

Hi there, I'm Sanjeev! ๐Ÿ‘‹

Welcome to my GitHub profile! I'm passionate about technology, coding, and collaborating on innovative projects. Here's a little bit about what I do:

๐Ÿงช SLAC National Lab Code

I have had the opportunity to contribute to projects at the SLAC National Accelerator Laboratory. Here are some of the projects I've worked on:

Project 1: Modeling and optimization of the FACET-II injector with machine learning algorithms

Description: Published at IPAC'24 - This project focuses on enhancing the SLAC FACET-II injector's performance by integrating machine learning algorithms. Traditional physics simulations are computationally demanding, and our approach replaces these intensive computations with a machine learning model that predicts outcomes in milliseconds. This innovation enables real-time physics predictions, significantly improving operational efficiency. The core of our model is a simple feedforward neural network that predicts key parameters like beam emittance and bunch length based on various inputs. A gradient descent feature analysis of the models reveals which input parameters impact which output parameters signifcantly, aiding the development of virtual diagnostics for particle accelerators.

Tech Stack: Python, MATLAB, XOPT, GPT (General Particle Tracer), Lucretia, openPMD, CNSGA (Controlled Non-dominated Sorting Genetic Algorithm), Feedforward Neural Network.

GitHub Repo: [Link to paper] [Link to the repository]

Project 2: Bmad L1 and L2 phase scan

Description: This project simulates beam dynamics in the FACET-II particle accelerator. It performs a double for-loop scan over L1 and L2 phases to analyze their impact on beam behavior, setting up the simulation environment, running simulations, and visualizing results in a matrix plot format.

Tech Stack: Python, Anaconda, Bmad, pytao, openpmd-beamphysics, numpy, matplotlib, pandas

GitHub Repo: [Link to the repository]

Project 3: Online ML Modeling with Live Data

Description: TBD: take containerized simulations and deploy to online computer on s3df via k8s to perform ml anaylysis during injector runs. Tech Stack: K8s, docker, ML GitHub Repo: TBD

๐Ÿฆ€ Rust Cloud Development Projects

I'm also experienced in developing cloud-based applications using Rust. Here are some of my Rust projects:

Project 1: [Project Name]

Description: A brief description of the project, what it does, and what technologies were used. Tech Stack: List the technologies and tools used. GitHub Repo: [Link to the repository]

Project 2: [Project Name]

Description: A brief description of the project, what it does, and what technologies were used. Tech Stack: List the technologies and tools used. GitHub Repo: [Link to the repository]

Project 3: [Project Name]

Description: A brief description of the project, what it does, and what technologies were used. Tech Stack: List the technologies and tools used. GitHub Repo: [Link to the repository]

๐Ÿš€ Hackathon Projects

I love participating in hackathons and have worked on several exciting projects. Here are a few highlights:

Project 1: [Project Name]

Description: A brief description of the project, what it does, and what technologies were used. Tech Stack: List the technologies and tools used. GitHub Repo: [Link to the repository]

Project 2: [Project Name]

Description: A brief description of the project, what it does, and what technologies were used. Tech Stack: List the technologies and tools used. GitHub Repo: [Link to the repository]

Project 3: [Project Name]

Description: A brief description of the project, what it does, and what technologies were used. Tech Stack: List the technologies and tools used. GitHub Repo: [Link to the repository]

๐Ÿ“ซ How to reach me

Feel free to connect with me on LinkedIn or email me at [[email protected]].

Thanks for visiting my profile! ๐Ÿ˜„

patchwork's People

Contributors

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