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Assessing your cultural and operational fit
Senior Software Engineer at Amazon
I am a software developer with a background in applied machine learning and a passion for creating customer-centric products. I thrive in roles that allow me to wear multiple hats and take on cross-functional responsibilities. Some of my most impactful contributions have come from working in environments where I've had the privilege of engaging in every facet of the product lifecycle. This includes participating in the initial stages of product conception and science/engineering solution scoping, all the way to productionization and customer A/B testing. I believe that this holistic approach provides individual contributors with a broader perspective when tackling complex problems, and promotes the development of solutions that build towards a global maximum outcome.
UC San Diego
Master of Science (M.S.), Machine Learning
January 1, 2015 – January 1, 2017
UCLA
Bachelor of Science (B.S.), Electrical Engineering
January 1, 2009 – January 1, 2013
Amazon
Senior Software Development Engineer (Rufus Product)
April 1, 2022 – Present
San Francisco Bay Area
Amazon
Software Development Engineer II (Alexa)
January 1, 2019 – April 1, 2022
San Francisco Bay Area
Qualcomm
Senior Software Applications Engineer (AR/VR and ML)
January 1, 2017 – December 1, 2018
Greater San Diego Area
Qualcomm
Software Applications Engineer (Multimedia Video)
April 1, 2013 – January 1, 2017
Greater San Diego Area
Qualcomm
Engineering Intern (Multimedia Power)
June 1, 2012 – August 1, 2012
Greater San Diego Area
Peking University
Summer Exchange Researcher
June 1, 2011 – August 1, 2011
Peking
UCLA
Undergraduate Researcher
August 1, 2009 – June 1, 2011
Cultural Fit Analysis
The candidate has a strong background in software development and machine learning, with significant experience at large tech companies like Amazon and Qualcomm. While the experience is highly technical and relevant to data science/ML engineering, the target role is 'Data Analyst'. This represents a potential mismatch in the depth of technical execution versus analytical reporting, which might require a shift in focus. The breadth of skills is strong, but the direct alignment with a pure 'Data Analyst' role, which often emphasizes SQL, visualization, and business intelligence over ML model development, is not fully clear from the provided data.
Soft Skills & Operational Fit
The candidate's experience at Amazon and Qualcomm, including technical lead roles and participation in 'Barraiser' communities, suggests strong collaboration, leadership, and problem-solving skills. The ability to translate complex technical findings into business summaries indicates strong communication and operational fit.