Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Manager, ML at Shopify
I am a builder and problem solver at heart, passionate about leveraging science and technology to solve complex customer and business problems. I believe in simple and scalable solutions, fast feedback loops, and data-driven decisions. At times, I also enjoy diving deep to understand key system components. - Demonstrated success in building large-scale, big data, and ML platform services: launched AWS and Azure services; spearheaded company-wide platforms that drive efficiency in building and deploying ML solutions through platform adoption. - Led the development and deployment of ML solutions for various applications, including product recommendations, Ads CTR/CVR prediction, and fraud detection. - Excelled at breaking down complex problems into actionable components and delivering incremental results while advancing towards long-term goals. Experienced in incubating new products and enhancing existing features. - Built high-performing teams of engineers and ML scientists, leading distributed teams across SEA and NYC; mentored and developed talent from L4 to L7 at Amazon across multiple job families.
Portland State University
Ph.D., Computer Science
January 1, 2005 – January 1, 2008
Oregon Graduate Institute
Ph.D., Computer Science
January 1, 2002 – January 1, 2005
Shanghai Jiao Tong University
Computer Science
N/A – Present
Shopify
Senior Manager, ML
September 1, 2025 – Present
Amazon
Sr. Manager of Applied Science and Engineering, Personalization
October 1, 2022 – April 1, 2025
Amazon
Manager of Applied Science and Engineering, Product Graph
April 1, 2018 – September 1, 2022
Amazon
Software Development Manager, Machine Learning
September 1, 2016 – April 1, 2018
Microsoft
Sr. SDE
November 1, 2014 – September 1, 2016
Seattle
Amazon
Sr. SDE
January 1, 2013 – November 1, 2014
Amazon
Software Development Engineer
September 1, 2008 – January 1, 2013
AT&T Research
Intern
July 1, 2007 – September 1, 2007
Oregon Graduate Institute
Research Assistant
September 1, 2002 – September 1, 2008
Portland, Oregon Metropolitan Area
National Instruments
Software Engineer
January 1, 2000 – January 1, 2002
Cultural Fit Analysis
The candidate has a long and distinguished career primarily within large, established tech companies (Amazon, Microsoft, Shopify). This indicates a strong fit for structured environments and large-scale problem-solving. The focus on machine learning, data platforms, and backend systems aligns well with a Backend Engineer role, especially one involving complex data processing or ML infrastructure. However, the candidate's recent roles are heavily management-focused, which might indicate a potential mismatch if the target role is purely individual contributor. The lack of diverse project types outside of large corporate settings could be a factor, but the depth of experience within those settings is significant.
Soft Skills & Operational Fit
The candidate's extensive experience in management and leadership roles at major tech companies like Amazon and Microsoft suggests strong operational fit, including project management, team leadership, and strategic planning. The descriptions of building new platforms and hiring SDEs indicate a proactive and growth-oriented mindset. However, specific soft skill assessments are not available.