As part of the Cloud Team at Qualcomm, I worked in an agile environment and a CI/CD pipeline to create internal monitoring solutions and contribute to an automation platform. • Helped architect and develop a monitoring solution with Grafana for internal developers on Qualcomm’s in-house PaaS platform built on top of AWS, supporting 25+ applications • Developed and integrated a provisioning tool for allowing Qualcomm to leverage Spotinst in its 300+ AWS accounts using Flask • Designed and implemented web application test automation for a PaaS platform using Robot Framework, improving testing time by 50% • Helped develop core services in an agile environment, including implementing logging and CloudFormation templates, for a cloud automation platform

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As a member of the Big Data for Environmental and Economic Policy (BDEEP) research group at NCSA, I was mainly part of the Sao Paulo Congestion Project. The project studied the welfare effects of the 2015 and 2017 speed changes in Sao Paulo, Brazil. • Geographic Information System (GIS) Programming: Developed, documented, and maintained geocoding programs which took addresses as input and parsed and stored geographic information about those addresses  • Address Matching Program: Designed, built, and managed a program used by multiple teams that measures the validity of geocoded latitudes and longitudes • Data Analysis: Created R Scripts to clean and merge extensible sets of data into a single, accessible RDS format

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