Nathan Schneider

Nathan Schneider

Software Engineer

schnei.nathan@gmail.com

Hi, I'm Nathan, a software engineer with AWS.

I'm currently working with AWS clo


Work Experience

Software Development Engineer I

August 2022 - Present

Amazon Web Services, Seattle WA
AWS IoT Device Ecosystem

  • Using AWS CDK, designed and deployed native AWS canary services to monitor the health of our product
  • Collaborated with a team to design high level solutions with well-written, highly organized documentation
  • Officially recognized by team for outstanding work in over 45% of sprint retrospectives

Software Development Engineer Intern

June 2021 - September 20211

Amazon Web Services, Seattle, WA

  • Designed and implemented a cloud infrastructure tool for collaboration and automation in software testing
  • Through investigation and research, diagnosed and defined team productivity losses
  • Using AWS CDK Infrastructure as Code, provisioned and tuned cloud services for reliability and security
  • Wrote high quality Python, Go, and Typescript code, chosen for varying needs of the project

Full-Stack Engineer

December 2019 - December 2020

DALI Lab, Hanover, NH

  • Collaborated with an interdisciplinary Agile team to design, develop, and deploy multiple software solutions
  • Implemented multiple tech stacks dependent on project needs
  • Contributed to many diverse projects over multiple terms
    • Project Pine Beetle - a web platform to visualize and predict outbreaks of Southern Pine Beetle
    • GoPhish - an education tool to teach users to identify and prevent phishing attacks
    • SLAR - Sign Language Augmented Reality game to teach finger spelling
    • Vox Daily - Modernization of campus email news system

Data Science Researcher

December 2020 - Present

Computer Science Department at Dartmouth College, Hanover, NH

  • Utilized Unix scripting tools, Python, and Ctypes, to quickly parse and transform massive datasets
  • Aggregated, summarized, and anonymized 15+ years of Wifi Syslog files for research distribution

Data Science Intern

June 2019 - September 2019

Laboratory for Atmospheric and Space Physics, Boulder, CO

  • Using Python and LabVIEW, designed and implemented a database analysis tool for accelerator functionality
  • Provided curated graphics and metrics for novel insights on historical data in a SQL database
  • Iteratively improved user interface and capabilities based on projected user needs

Education

Dartmouth College

Sept 2018 - June 2022

Major in Computer Science, Minor in Engineering

Coursework

Reinforcement Learning (independent study)

Machine Learning

Artificial Intelligence

Robotics

Software Development

Algorithms

Discrete Math

Full-Stack Web Development

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