Help & Supportcareers@gravityer.com
Software Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a software and data engineer passionate about solving complex problems with the right tools. I love optimizing code, systems, and my workflow.
University of Colorado Boulder
Bachelor's Degree, Mathematics, Physics, Minor in Political Science
August 1, 2008 – May 1, 2012
Sumble
Founding Engineer
May 1, 2023 – Present
Remote
Primer.ai
Senior Staff Machine Learning Engineer
January 1, 2023 – May 1, 2023
Primer.ai
Staff Machine Learning Engineer
July 1, 2021 – January 1, 2023
Primer.ai
Senior Machine Learning Engineer
October 1, 2020 – June 1, 2021
KPMG
Machine Learning Engineering Manager
October 1, 2019 – September 1, 2020
Denver, Colorado, United States
KPMG
Senior Machine Learning Engineer
October 1, 2017 – September 1, 2019
Denver, Colorado, United States
Galvanize Inc
Senior Data Scientist, Instructor
January 1, 2017 – September 1, 2017
Galvanize Inc
Data Scientist, Associate Instructor
January 1, 2016 – December 1, 2016
Galvanize Inc
Data Scientist in Residence
October 1, 2015 – January 1, 2016
University of Colorado Boulder
Teaching Assistant
January 1, 2011 – May 1, 2012
Boulder, Colorado
University of Colorado Boulder
Undergraduate Research Assistant
May 1, 2010 – August 1, 2010
Boulder, Colorado
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning and Data Science, with roles ranging from individual contributor to manager and instructor. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards Machine Learning Engineering and MLOps, which is a significant mismatch. Their project diversity is limited to ML/DS applications. The breadth of skills is strong within the ML/DS domain but may lack depth in traditional data analysis tools and methodologies.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills through their roles as an instructor and manager. Their experience in agile practices, pair programming, and well-documented codebases suggests a collaborative and quality-focused operational fit. The transition from on-premises to cloud ML deployments indicates adaptability and problem-solving capabilities.