AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sr Manager, Machine Learning at Amazon
Amazon's Product Assurance, Risk and Security (PARS) Team is looking for smart, energetic, and creative Applied Scientists to apply and extend state-of-the-art research in NLP, probabilistic graphs, text in images, documents, product images, multi-modal inputs, large multi-label hierarchical classification, misinformation detection, and knowledge graphs to join the Machine Learning team in Seattle. At Amazon, we are working to be the most customer-centric company on earth. Millions of customers trust us to ensure a safe shopping experience. This is an exciting and challenging position to drive research that will shape new ML solutions for product and food safety, and restricted product compliance in order to achieve best-in-class, company-wide standards around product assurance. Over 10 years of experience, including 5+ years of management experience, in deriving business value using Machine Learning and decision sciences. Intrapreneur working cross-functionally across product, sales & marketing, operations, finance and engineering, adept at identifying current business problems and future opportunity, creating AI roadmaps and business goals, deploying ML technologies, implementation processes, and building automation pipelines, infrastructure and data. Broad range of experience in machine learning techniques such as decision trees, deep neural networks, quantile regression, bayesian inference, NLP, and Computer Vision. Adept at connecting the dots across multi-disciplinary functions and making things work in organizations of various sizes. In addition to my work at Amazon, I also speak at events and conferences on Product and Food Safety, and Machine Learning
The University of Chicago Booth School of Business
Master of Business Administration (MBA)
January 1, 2011 – January 1, 2013
University of Illinois Urbana-Champaign
Exchange - Non Degree, Computer Engineering
January 1, 2006 – January 1, 2006
National University of Singapore
Bachelor of Engineering, Computer Engineering
January 1, 2003 – January 1, 2007
Amazon
Sr Manager, Machine Learning
April 1, 2022 – Present
Amazon
Head of ML and Data, WW Product Compliance
April 1, 2019 – April 1, 2022
Amazon
Manager, Machine Learning, Fulfillment By Amazon (FBA)
April 1, 2017 – April 1, 2019
Amazon
Sr Business Analytics Manager
October 1, 2015 – March 1, 2017
Adobe
Senior Advanced Analytics Manager
July 1, 2013 – September 1, 2015
San Jose, California, United States
ORIGAMI Inc. Discover New Creativity
Entrepreneurial Sales
November 1, 2012 – April 1, 2013
Chicago, Illinois, United States
Titan Capital
Investment Banking Intern
June 1, 2011 – July 1, 2011
Singapore
Murex
Senior Consultant
January 1, 2010 – April 1, 2011
Singapore
Murex
Financial Engineer
June 1, 2007 – December 1, 2009
Singapore
Singapore Armed Forces
Combat Signaler
April 1, 2001 – August 1, 2003
Singapore
Data-Driven Marketing
April 1, 2013 – June 1, 2013
Coursework covering modern data-driven marketing analysis tools - regression to calculate price elasticity assuming log-linear demand curve - logistic regression to target positive ROMI deciles to improve sales, and high churn risk customers
Social Media Research Project (Marketing Research)
January 1, 2013 – March 1, 2013
- Delivered recommendations on Social Media strategy for 4 target audiences: B2C and B2B intermediaries and end customers, to Digital Marketing VP based on primary qualitative and quantitative marketing research. - Performed t-tests, multi-variate regression, factor, cluster analyses, perceptual maps. - As part of Marketing Research Lab
Big Data Consulting Project (Management Lab)
September 1, 2012 – December 1, 2012
- Delivered Big Data strategy recommendations to C-level executives of Fortune 500 technology firm - Conducted primary and secondary market research into Media and Entertainment, Retail, Manufacturing, and Healthcare industry verticals - As part of Chicago Booth Management Lab
AWS Knowledge: Cloud Essentials - Training Badge
Amazon Web Services (AWS)
June 24, 2026 – Present
Certified Financial Risk Manager (FRM)
Global Association of Risk Professionals (GARP)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on leadership and strategic roles within large organizations (Amazon, Adobe) and a brief entrepreneurial stint. The MBA and various project experiences indicate a business-oriented mindset, which could be a good fit for roles requiring a blend of technical depth and business acumen. However, the projects listed are primarily business/marketing analytics focused, and the experience, while heavily in ML/Data, is more managerial than hands-on software engineering. This might indicate a potential mismatch for a purely hands-on 'Software Engineer' role, suggesting a better fit for a Staff/Principal Engineer or Engineering Manager role with a strong ML focus. The breadth of experience across different industries (tech, finance, consulting) suggests adaptability.
Soft Skills & Operational Fit
The candidate's experience at Amazon and Adobe highlights strong leadership, team building, and strategic thinking skills. Descriptions of leading cross-functional teams, defining project roadmaps, and evangelizing data-driven approaches suggest excellent communication and stakeholder management. The entrepreneurial sales experience also points to initiative and problem-solving abilities. The role as a Senior Consultant at Murex further demonstrates crisis management and client expectation handling.