Alexander Taffe

Software Development Engineer Intern

Amazon•  June 2024 - September 2024•  Cupertino, CA

Built a time series data collection system for server power data using Python, AWS Lambda, SQS, and DynamoDB, enabling power data analysis for regulatory compliance and performance monitoring across AWS machines.

Software Engineer 2

Axon Digital•  June 2022 - September 2023•  Remote

Built the backend and middle end for searching and indexing warrants and bookings using Golang and TypeScript respectively, enabling police departments nationwide to search and index documents. Designed a blob storage integration to support the indexing of large payloads, enhancing the scalability and resilience of the records team’s search pipeline.

Software Engineer 2

PayPal•  November 2020 - June 2022•  San Jose, CA

Delivered backend features like a store search API and pre-auth API for PayPal’s new Pay at Pump project using Java and Spring Boot, enabling PayPal customers to pay for gas using the PayPal app. Enabled the PayPal QR code team's gateway service to handle long running API calls to other services by adding user session polling to the QR code team’s gateway service.

Software Engineer 2

American Express•  December 2018 - November 2020•  Phoenix, AZ

Built the service establishment location ingestion API to integrate Groupon offers with the Amex offers system using Java 8, Spring Boot, and Postgres.

Software Engineer Intern / Software Engineer I

Astronautics Corporation of America•  June 2016 - December 2018•  Phoenix, AZ

Updated C++ unit tests for the company’s electronic flight instrument driver libraries, used for developing flight software.

University of California, Davis

Computer Science, MS•  September 2024 - June 2025•  GPA: 3.7

I was a student researcher on the visualization team in the Marcu Lab at UC Davis. As a student researcher, I helped develop a surgical guidance system for tumor resection. These tasks included developing a dataset of surgical videos for training and evaluating machine learning models, converting Python code to C++, and testing various computer vision machine learning models for integration into our lab's surgical guidance system.