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Machine Learning/Software Engineer at Cards Against Humanity
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Assessing your cultural and operational fit
Machine Learning Engineer at dumb card game company
Udacity
Deep Learning, Self-Driving Car, and Computer Vision Nanodegrees
January 1, 2017 – January 1, 2018
Santa Rosa Junior College
Associate's degree, Computer Science
January 1, 2011 – January 1, 2022
Cards Against Humanity, LLC
Machine Learning Engineer
July 1, 2019 – Present
Portland, Oregon, United States
Udacity
Deep Learning Mentor
January 1, 2018 – August 1, 2018
Amy's Drive Thru
Trainer
April 1, 2015 – September 1, 2016
Rohnert park, CA.
Yvonne Wayne Cotillion Ballroom
Dance Instructor
October 1, 2012 – December 1, 2015
Tiburon, Ca
FanWar
Game Master
January 1, 2008 – July 1, 2019
San Francisco Bay Area
Vehicle Detection and Tracking
October 1, 2017 – Present
- Created a vehicle detection and tracking pipeline with OpenCV, and an end-to-end YOLO model. - Optimized and evaluated the model on dashcam data taken from highway driving. - End result got 100% detection on cars present in test video
Behavioral Cloning on Driving Simulator
September 1, 2017 – Present
- Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. - Heavily augmented the dataset with shadows, image shifting, mirroring, and color changing to better generalize the model to multiple tracks. - Model was able to drive car at full speed around advanced hilly track with minimal test data.
Java Programming and Software Engineering Fundamentals
Duke University
June 24, 2026 – Present
Self Driving Car Engineer Nanodegree
Udacity
June 24, 2026 – Present
Deep Learning Nanodegree
Udacity
June 24, 2026 – Present
Computer Vision NanoDegree
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background includes diverse roles outside of traditional tech, such as Dance Instructor and Game Master, which could bring a unique perspective and adaptability to a team. The personal projects in self-driving cars and vehicle detection align well with innovative and challenging environments. The role at Cards Against Humanity, LLC, suggests an ability to work on unconventional and creative projects. However, the breadth of skills outside of ML appears limited based on the resume, and the non-technical roles, while demonstrating soft skills, do not directly contribute to a technical cultural fit for an ML Engineer role. The long tenure as a Game Master (2008-2019) alongside other roles might indicate a non-linear career path, which could be a fit for organizations valuing diverse experiences, but also might suggest less focused technical career progression.
Soft Skills & Operational Fit
The candidate's experience as a Deep Learning Mentor at Udacity suggests an ability to explain complex technical concepts. Roles as a Trainer and Dance Instructor indicate experience in leadership, instruction, and managing groups, which could translate to good team collaboration and communication skills. The Game Master role highlights problem-solving, rule-setting, and managing diverse groups, suggesting adaptability and organizational skills. However, without psychometric test results, a definitive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.