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Senior Software Engineer at Adobe
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Utah
Bachelor's degree, Computer Science
January 1, 2014 – January 1, 2018
Adobe
Senior Software Engineer
January 1, 2026 – Present
Adobe
Software Engineer
January 1, 2022 – January 1, 2026
Opengear
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August 1, 2020 – January 1, 2022
Salt Lake City, Utah, United States
L3Harris Technologies
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January 1, 2019 – August 1, 2020
Greater Salt Lake City Area
Sibly
Machine Learning Engineer
July 1, 2017 – January 1, 2019
Savvysherpa, Inc.
Data Science Intern
September 1, 2016 – July 1, 2017
O.C. Tanner
Data Scientist Intern
April 1, 2016 – September 1, 2016
Salt Lake City
Connexion Point (cXp)
Data Science Intern
January 1, 2016 – April 1, 2016
Salt Lake City, Utah
Rakuten Marketing
Demand Marketing Intern
March 1, 2015 – April 1, 2016
Salt Lake City, Utah
Training a Smart Cab to Drive - Machine Learning
June 1, 2016 – Present
Using the power of Python and machine learning, I trained a simulated smart cab from the not so distant future to drive from one arbitrary location to another within a given time limit. The smart cab learns how to interact with other drivers on the road and to obey traffic laws.
Finding Customer Segments - Machine Learning
May 1, 2016 – Present
Use unsupervised machine learning techniques to define customer segments from customer spending data.
Student Intervention System - Machine Learning
May 1, 2016 – Present
Machine learning project using supervised learning techniques to predict whether or not students in a school will pass their final exam given a set of data.
Predicting Boston Housing Prices - Machine Learning
April 1, 2016 – Present
A predictive model that estimates the housing prices in the Greater Boston area based on housing data. Uses supervised machine learning techniques.
Asteroids
December 1, 2015 – Present
A copy of the classic arcade game Asteroids, complete with homing missiles, boss battles, and shield power ups.
Cultural Fit Analysis
The candidate has a diverse background spanning several companies and roles, including internships and full-time positions in data science, machine learning, and software engineering. This breadth of experience suggests an ability to adapt to different organizational cultures and project types. The personal projects, while focused on machine learning, show a proactive approach to skill development. However, the recent shift to Senior Software Engineer at Adobe, while demonstrating technical growth, might indicate a different career trajectory than a pure Data Analyst role. The alignment with a Data Analyst target role is moderate, given the strong software engineering experience post-data science roles.
Soft Skills & Operational Fit
The candidate's resume indicates a progression through various data-related roles, suggesting adaptability and a willingness to learn. The descriptions of personal projects highlight initiative and problem-solving skills. However, without specific assessment data on soft skills or operational fit, a definitive evaluation is limited.