Senior Machine Learning Engineer at Amazon
Years of Experience
georgia institute of technology, tecnolgico de monterrey, boston university
amazon, amazon, amazon, amazon, smart media, jarvam llc, action group mexico
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2023 - Present
Senior Machine Learning Engineer
2021 - 2023
Machine Learning Engineer
2016 - 2021
Software Development Engineer II
Last Mile (July 2018 - May 2021) - Researched and developed a Machine Learning model for predicting underinflation in tires leveraging telemetry data. Demonstrated how these predictions could be used to alert delivery stations preemptively, positively impacting the safety of drivers and the health of vehicles. - Researched and developed a Machine Learning model for classifying valid cranking events directly from raw voltage measurements. Showed how the minimum voltage during valid cranking instances could be used for tracking battery health cross Amazon’s delivery fleet. - Researched and developed a Machine Learning model for detecting vehicle collisions in Amazon’s delivery vans using telemetry data. This reduced the false positive rate from 80% to 20% which improved the experience of delivery stations that were received collision alerts. - Designed and developed a platform that processes and annotates videos from Amazon’s delivery vans to generate Ground Truth datasets. This enabled vision-based Machine Learning models to support initiatives such as driver/vehicle activity recognition and other on-road classification tasks. - Designed and developed a platform for ingesting vehicle telematics to provide datasets for training and validating Machine Learning models that support initiatives such as fleet management, driver monitoring and vehicle safety. Amazon Web Services (January 2017 - July 2018) - Ask me about my experience in the team that launched HoneyCode. Transaction Risk and Management Systems (October 2016 - January 2017) - Ask me about my experience in the Buyer Fraud Services team that analyzed trillions of transactions every day to detect, prevent and mitigate fraud.
2014 - 2016
Software Development Engineer I
Transaction Risk and Management Systems - Designed and developed “Atlantis”, a Machine Learning system that reduces the need for humans to act upon 5% of queued orders for fraud detection, positively impacting the scale of Amazon’s business. - Developed a new module for re-evaluating Amazon orders for fraud. This supported the launch of multi-factor authentication (MFA) challenges presented to customers during the “check-out” experience. - Integrated statistical analysis tests to deployment pipelines to detect anomalies between existing and new behavior due to code changes. This reduced bad deployments in 60% across all fraud detection systems.
2013 - 2013
Contract Web Developer
- Developed a web application that provided e-coupons and exchangeable rewards. Established an innovative experience for tourists in Cancun, Mexico improving sales in all the associated businesses.
2012 - 2014
- Implemented lab module integration with current SmartShops Web System that allowed users to manage new orders, the production cycle, and the status of each order. - Designed and developed Android app to scan the lab orders and process its status. Reduced the need of workstations in the lab, and improved production cycle efficiency in about 50%. - Designed and implemented Business Intelligence reports integration with current SmartShops Web System. Facilitated decision-making process for all managers and supervisors.
2011 - 2012
action group mexico
Contract Mobile Developer
- Designed and developed an Android app that creates surveys that integrate with Microsoft Excel. Reduced the need of pen and paper and reduced the survey analysis time to a couple of hours.
Amazon Web Services (AWS)
Artificial Intelligence (AI)
Machine Learning (ML)
2016 - 2019
georgia institute of technology
Master of Science - MS
2009 - 2014
tecnolgico de monterrey
Bachelor of Science (B.S.)
2009 - 2010
Bachelor of Science (B.S.)
Colleagues at amazon