Summary
Overview
Work History
Education
Skills
Affiliations
Personal Projects
Timeline
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Cheyenne Nelson

Software Engineer, Physicist
San Francisco,CA

Summary

Creative engineer with a background in physics and computational mathematics. Through the intersection of computer science, physics, and mathematics has built software applications used in the fields of particle physics, bioinformatics, and industrial spectroscopy. Enjoys collaborating in team-focused environments to provide elegant and innovative software solutions.

Overview

6
6
years of professional experience
3
3
years of post-secondary education

Work History

Software Engineer - Backend

Picarro
4 2021 - 09.2023
  • Developed a full stack database application in Python utilizing PostgreSQL to enable users to submit queries and receive results from the Spectral Library database.
  • Established a data transfer pipeline, facilitating the large-scale data migration from MongoDB to PostgreSQL.
  • Strongly encouraged and facilitated Stakeholder engagement during application design and development.
  • Responsible for the Python application packaging process to PyPI and Debian packages for CI and CD deployment.

Software Engineer - Backend

Lawrence Berkeley National Laboratory
10.2018 - 01.2021
  • Developed large scale web applications in Python to enable scientists around the world to analyze, process, and visualize genomic and meta-genomic data.
  • Built robust data pipelines to monitor system and server metrics through Kafka, Elasticsearch, and Kibana dashboards.
  • Transformed raw HTML data into meaningful user and application analytics with MySQL and Pandas. Tableau visualizations of these analytics enhanced understanding of site dynamics and empowered decision-making.
  • Collaborated with geneticists - stakeholders - to build an error correction algorithm for genomic sequencing data to ensure data integrity throughout the genomic annotation procedures.

Particle Physics Researcher

Lawrence Berkeley National Laboratory
8 2017 - 5 2018
  • Developed an algorithm to predict non-ionizing radiation losses of the ATLAS Pixel Detector from sensor inputs to improve the accuracy of LHC run data.
  • Built a software framework in C++ used to make predictions of LHC experimental results from theoretical models.

Research Intern

CERN
05.2015 - 08.2016
  • Developed a temperature optimization algorithm for antiproton plasmas in C++ to enhance the stable production of antihydrogen.
  • Conducted data analysis in Python of object deformation in cryogenic vacuum systems to improve laser spectroscopy measurements.
  • Responsible for the operation and maintenance of a
    turbomolecular vacuum pump in which to conduct
    experiments on optical interference and mirror cell
    deformation.

Education

University of California, Berkeley

Bachelors Physics
08.2014 - 05.2017

Skills

Programming Languages: Python, C++, JavaScript, Go, Rust.

Databases: MySQL, PostgreSQL, MongoDB, ElasticSearch.

Data Analysis: Pandas, Numpy, Jupyter.

Web Frameworks: Express.js, Node.js, Django, Flask. 

Machine Learning: Unsupervised and supervised learning models. TensorFlow, PyTorch, Scikit-learn and Keras.

Quantum Computing: Qiskit, Forest, TensorFlow Quantum.

Affiliations

APS - American Physical Society (2015 - present).
AISES - American Indian Science and Engineering Society (2014-present). President of AISES Berkeley Chapter.
SPS - Society of Physics Students (2014 - present). Secretary of SPS Berkeley Chapter.
SACNAS - Society for Advancement of Chicanos/Hispanics and Native Americans in Science (2016 - present).
PTK - Phi Theta Kappa Honors Society (2012 - 2015). Secretary and Public Relations Officer of Chapter Beta Sigma Rho.

Personal Projects

Uncovering the biosphere: Predicting Plant Traits for Ecosystem Health

Employing deep learning-based regression models, such as
Convolutional Neural Networks (CNNs), to predict plant traits
from images in a multi-task learning approach: the model
predicts multiple plant traits simultaneously. This project
contributes to understanding the broader implications of
global changes on ecosystems.


Classification with Quantum Neural Networks 

Built an OCR data pipeline coupled to a Quantum Neural
Network (QNN) to recognize handwritten digits. Regions of
interest (ROIs) were extracted from textual images, with
subsequent application of an OCR algorithm featuring a
quantum neural network, or quantum circuit, for the
identification of digits


Nyanko Coin - Creator
Quantum resistant meme coin. Nyanko Coin is a blockchain
project which employs cryptographic techniques resistant to
attacks from quantum adversaries, ensuring the security of
digital assets.

Timeline

Software Engineer - Backend

Lawrence Berkeley National Laboratory
10.2018 - 01.2021

Research Intern

CERN
05.2015 - 08.2016

University of California, Berkeley

Bachelors Physics
08.2014 - 05.2017

Software Engineer - Backend

Picarro
4 2021 - 09.2023

Particle Physics Researcher

Lawrence Berkeley National Laboratory
8 2017 - 5 2018
Cheyenne NelsonSoftware Engineer, Physicist