Resume

Education

Bachelor of Science, Electrical and Computer Engineering, May 2021

Experience

Software Engineer 2, Amazon.com Inc June 2024 - Current

Software Engineer, Amazon.com Inc June 2022 - June 2024

• Upgraded Spark application to increase fidelity of precomputed audience size from 24 hours to 1 hour using incremental data on AWS Step Functions and EMR
• Onboarded Spark cache loader to AWS Step Functions due to AWS Data Pipeline deprecation
• Developed REST API for Amazon Ads audience creation backed by Fargate and DynamoDB, deployed through AWS CDK on CloudFormation using a CI/CD pipeline with onebox deployment, JUnit unit tests, and end-to-end integration testing

Software Engineer, L3Harris Technologies Inc June 2021 - June 2022

Team: Mission Communication Systems Products

• Extended rework of the User Admin panel by adding warnings, errors, and features that supported adding passengers alongside bug fixes and performance improvements

• Enhanced user experience of the WiFi panel by adding a scrollbar and clarifying capabilities of networks

• Developed over 1,900 lines of production-quality Java and SQL code, rigorously tested and peer reviewed

Software Engineering Co-op, L3Harris Technologies Inc January 2020 August 2020
Team: Sensor Software, January 2020 - June 2020

• Implemented key feature of dwelling by enabling users to prioritize certain scans over others, with four different priority modes

• Designed and improved the flow of calibration data through the system by removing multithreaded access with no loss in performance

• Developed error response when given a scan command with an invalid configuration as well as blocked use of the test signal generator under certain scan configurations Team: Common Intelligence Collection Systems Group, June 2020 - August 2020
• Finished implementing messaging service by doubling the amount of information available to the user

Project Leader, Rig Automation Performance Improvement in Drilling (RAPID) January 2019 - May 2019

• Used machine learning to process drilling memos and extract key data such as hole depth

• Preprocessed text using NLP techniques such as stemming and regular expression tokenization

• Presented in February 2020 at the IADC/SPE International Drilling Conference and Exhibition

Data Science Intern, RAPID October 2018 - December 2018

• Plotted DTW path between time, bit depth, differential pressure, bit torque, and bit RPM with focus on the minimum for use in unsupervised learning

• Found minimum distance using FastDTW, pandas, and NumPy to determine time series similarity for use in clustering

Projects

Rap Generator, Final Project, Data Science Lab

• Scraped lyrics to 500+ songs using, LyricsGenius, a Python library

• Utilized state of the art transformer learning model, GPT-2, precursor to ChatGPT, to generate rap lyrics

Conference Connect, Senior Design

• Created wristband which trained a Linear SVC on data from a gyroscope, accelerometer, and RFID to achieve 88% accuracy at recognizing hand shakes
• Designed and 3-D printed a container out of PETG plastic to enclose sensors and Raspberry Pi W

Skills

Proficient: Python, Java

Familiar: Linux (RHEL, Ubuntu), Git, TypeScript, SQL, C/C++, AWS CDK (EMR, DynamoDB, S3, EC2, ECS, CloudFormation, Step Functions, Data Sync, IAM), Scala, Apache Spark

Activities

Eagle Scout: Lead book drive which sorted and donated 500 books to Overton Elementary