Chris Anderson
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Developing software @ PNNL
• ~8 years + BS/MS in CS, focused on machine learning + software engineering: • training/evaluating neural networks/machine learning models • maintaining/improving Airflow/Jenkins/Kubernetes systems • large-scale data gathering/custom web UI • 3D time-varying heatmaps on mesh visualization (optical sim) • multiple internships/jobs in web dev before transitioning to ML • professional attributes: • obsessive continual improvement of software/docs/UX/DX • strong with unstructured algorithmic problems • proven technical flexibility/adaptability • passionate about mentorship Some things I’m curious about/hoping for (broad, but I’m excited to try some new things): • software development: • audio/visual/spatial/simulation/R&D • games/graphics/art/music/VFX/AR/VR/HCI • foundational tech/tool building/open source • high-performance/low-level systems development • roles that blend technical expertise and teaching: • I love teaching/mentoring • possible titles: developer advocate/solutions architect/consultant/etc. • technical content development/writing My opinions are my own, not my employer's.
Brigham Young University
Master’s Degree, Computer Science (Machine Learning)
January 1, 2016 – April 1, 2017
Brigham Young University
Bachelor’s Degree, Computer Science
January 1, 2013 – August 1, 2016
Pacific Northwest National Laboratory
Software Engineer III
May 1, 2024 – Present
Washington, United States · Hybrid
Self Employed
Data Science Contractor
February 1, 2024 – April 1, 2024
United States · Remote
AskElephant
Senior Machine Learning Engineer
December 1, 2023 – January 1, 2024
Salt Lake City Metropolitan Area · Hybrid
Zoro US
Senior Machine Learning Engineer
October 1, 2022 – December 1, 2023
Remote
Olive
Machine Learning Engineer
August 1, 2021 – July 1, 2022
Remote
PhoneSoap
Computer Vision / Machine Learning Engineer
August 1, 2020 – July 1, 2021
Lehi, Utah, United States
Verisk
Computer Vision / Machine Learning Developer
January 1, 2018 – August 1, 2020
Lehi, UT
Brigham Young University
Research Assistant
January 1, 2016 – July 1, 2017
Brigham Young University
TA: Internet Programming, CS 360
August 1, 2015 – December 1, 2015
Walmart
Intern (front end, data visualization)
June 1, 2015 – August 1, 2015
Bentonville, AR
Brigham Young University
Web Developer
January 1, 2013 – April 1, 2014
BYU
Generating images in the style of Piet Mondrian
August 1, 2016 – Present
Used the Anglican probabilistic programming language to generate images in the style of Piet Mondrian. Accomplished good results in less than one week.
City Issue Tracker
January 1, 2015 – Present
An app for tracking public works issues in a city. Users will submit issues and the city will let them know when progress is being made. A Node server with a React.js front end using the Google Maps API for visualization.
Outdoors Unlimited
August 1, 2013 – Present
I built this beginning to end. It uses Drupal, but I made it responsive by hand.
Data Engineering Foundations
June 24, 2026 – Present
Leading with Vision
June 24, 2026 – Present
Developing Your Emotional Intelligence
June 24, 2026 – Present
Time Management: Working from Home
June 24, 2026 – Present
Agile Product Owner Role: Foundations
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from web development to advanced ML research, indicates adaptability and a broad interest in technology. Their experience in various company sizes (startup to large lab) and roles (individual contributor to lead) suggests a flexible approach to work environments. The target role of ML Engineer aligns well with their career trajectory and educational background.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through detailed project and experience descriptions, including positive feedback from previous managers. Experience in overhauling team processes, conducting interviews, and leading initiatives suggests good operational fit and teamwork capabilities. Participation in leadership development programs further supports this.