Maxwell

Software developer and machine learning enthusiast

Resume

I’m an early-career software engineer with a good working knowledge of many Python things. I believe communication, collaboration, and a willingness to learn are crucial in all aspects of life. Like many others, I’m deeply concerned about the state of the world and I’m working hard to make a difference.

Experience

Software Engineer II

Pacific Northwest National Laboratory, Janurary 2022 - Present

  • Proposed, designed, and delivered metrics and visualizations to help arm.gov justify its scientific value to congress.
  • Contributed to improving climate models by working with scientists to develop cloud and aerosol data products.
  • Developed internal tools to support test-driven development of data products, resulting in improved data reliability.
  • Led development of tsdat, an open-source Python library targeted at standardizing renewable energy data.
  • Enabled real-time processing of data by deploying 30+ a2e.energy.gov pipelines to AWS Lambda.
  • Mentored new staff on exploratory projects, including AWS Timestream / Athena / JupyterHub, and Prefect.
  • Unearthed tribal knowledge and documented best practices by creating an internal stackoverflow forum.

Software Engineer I

Pacific Northwest National Laboratory, April 2020 - December 2021

  • Developed data products to quantify meteorological processes at Atmospheric Radiation Measurement (ARM) measurement facilities globally.
  • Drafted technical reports and documentation to improve the maintainability of arm.gov data products.
  • Built and expanded tools to quantify the impact of ARM data and publications on the broader scientific community.
  • Co-authored tsdat, an open source python framework for building data ingestion pipelines.
  • Used tsdat to standardize 8 ocean meteorology datasets for the A2e program and consulted on several more ingests for other programs.
  • Presented tsdat in two several webinars with combined international attendance of 100+ people, and presented at the OCEANS 2021 conference in San Diego | Porto | Remote.

Software Development Engineer

Lewis & Clark College, Jan. 2018 - April 2020

  • Designed and built applications for automating freshman seminar assignments, a task previously done by hand using Excel.
  • Delivered .JAR application in Spring 2018 that places all students into one of their top 3 choices, exceeding client’s goals.
  • Used Agile software development practices, leading to an increase in developer productivity and client satisfaction.
  • Built www.sortinghat.org to increase functionality for 2020 adjustments to the freshman seminar series.
  • For more information see maxwelllevin.com/projects/sortinghat.

Undergraduate Research Assistant: Machine Learning / Computer Vision

Lewis & Clark College, May 2018 - June 2019

  • Researched effectiveness of CNNs on the segmentation of cloudy sky images compared to standard thresholding algorithm.
  • Adapted Python codebase for cluster computer with over 140 CPUs, resulting in massive image-processing speedups.
  • Examined dataset of over 100k sky images and fractional sky covers (FSC) and split into training and validation sets.
  • Trained on 60k sky images, achieving 90% validation accuracy and more a accurate FSC than threshold approach.
  • Meticulously documented over 100 experiments and presented research at several PNW conferences.
  • Worked to familiarize future researchers with the codebase and project goals during Summer 2019.
  • For more information see maxwelllevin.com/projects/sky.

Tutor: Math, CS, Physics

Symbolic & Quantitative Resource Center, Sep. 2016 - May 2019

  • Taught positive psychology techniques and modelled good study habits, resulting in an increase of students’ self-efficacy.
  • Coordinated with professors and other tutors to track students’ progress through particularly challenging material.

Homework Grader: PHYS 451 - Theoretical Dynamics

Lewis & Clark College, Jan. 2019 - May 2019

  • Recorded homework scores and reported common areas in weekly meetings with the professor.
  • Graded weekly homework assignments for ~16 students.

Teaching Assistant: CS 383 - Algorithm Design & Analysis

Lewis & Clark College, Sep. 2018 - Dec. 2018

  • Responsible for taking role and helping with homework, allowing the professor more time to focus on lectures and tests.
  • Worked closely with students during office hours, resulting in improved student comprehension and higher test scores.

Education

Bachelor of Arts: Computer Science and Mathematics from Lewis & Clark College in Portland, OR (May 2019)

Awards: Departmental honors in Computer Science and Mathematics, Pi Mu Epsilon, Dean’s List 5/8 semesters

GPA: 3.74 (Cum Laude)