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Software Engineer: Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Georgia Institute of Technology
Doctor of Philosophy (PhD), Physics
January 1, 2006 – January 1, 2013
Washington State University
B.S., Physics
January 1, 2003 – January 1, 2006
Galvanize - San Francisco, SoMa
data science immersive
N/A – Present
Zoox
Staff Machine Learning Engineer: Computer Vision
January 1, 2023 – Present
San Diego, California, United States · On-site
Amazon - Strategic Projects at AmazonFresh/PrimeNow
Sr Machine Learning Scientist
September 1, 2020 – January 1, 2023
Greater Seattle Area
Amazon - Strategic Projects at AmazonFresh/PrimeNow
Senior Applied Scientist
September 1, 2019 – September 1, 2020
Greater Seattle Area
Amazon - Strategic Projects at AmazonFresh/PrimeNow
Applied Scientist (ML)
May 1, 2017 – September 1, 2019
Greater Seattle Area
Amazon Web Services
data scientist
January 1, 2016 – May 1, 2017
Seattle
Applied Materials
Process Engineer III
October 1, 2013 – September 1, 2015
Santa Clara, CA
Georgia Institute of Technology
Graduate Research Assistant
January 1, 2008 – July 1, 2013
Atlanta, GA
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in Machine Learning and Data Science, primarily within large tech companies (Amazon, Zoox). While the experience is deep in ML/DS, the target role is 'Data Analyst'. This represents a significant shift from their recent senior ML engineering roles. The project diversity is limited to their professional roles, and there are no personal projects listed. The breadth of skills, while strong in ML, might not directly align with the typical day-to-day responsibilities of a Data Analyst, which often involves more traditional data manipulation, reporting, and business intelligence tools. This could indicate a potential mismatch in expectations or a need for upskilling in core data analyst tools and methodologies. The transition from Staff ML Engineer to Data Analyst suggests a potential overqualification or a desire for a different type of role, which needs to be explored.
Soft Skills & Operational Fit
The candidate's career progression through various Amazon roles (Applied Scientist, Sr Machine Learning Scientist, Staff Machine Learning Engineer) suggests strong adaptability, problem-solving skills, and the ability to take on increasing responsibilities. The description of meeting with customers and understanding use cases in the AWS IoT role indicates good communication and stakeholder management potential. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.