• Designed and implemented REST APIs (Java/Spring Boot) and integrations with services in external systems (Kafka/Apache Pulsar) capable of processing 15,000 messages per minute• Architected Azure DevOps CI/CD pipelines utilized in 2 projects to build, test, scan, and deploy 5 microservices to 14 environments, including production environments with more than 1 million concurrent users (SonarQube, BlackDuck, Fortify, Artifactory, Vault)• Led an effort to automate post deployment validation of microservices in 2 separate projects; cutting down deployment time from 1 day to 1.5 hours and resulting in a new PowerShell framework (OAuth authentication, REST requests)• Authored a white paper detailing PowerShell framework designed to automate post deployment testing/validation of microservices with an audience of more than a dozen teams (150+ person organization)• Built a simple UI to enhance business insights into vehicle tracking globally via 2 REST APIs (Angular, Typescript, UX design)• Optimized Oracle database queries to improve both performance and scalability (95% response time reduction)• Diagnosed 200+ ReadyAPI regression tests for WebLogic services, leading to Quality Assurance approval of added components to meet a tight production deployment deadline (Groovy scripts)• Mentored the newest developer to join a 12 person team, performed code reviews, and conducted learning sessions for other teams covering 5 platforms GM adopted as part of an infrastructure modernization effort• Advised senior developers on other teams, resolved critical time sensitive production deployment issues, and received 7 recognitions from members of different teams for these efforts

• Applied functional programming approach to implement dozens of Neural Networks with python and Tensorflow• Established source control plan for the team both in Google Cloud and GitHub shared repositories• Sourced 40 gigabytes of audio data using Bash script to download and organize directly on Google’s server’s saving 10 hours for project setup• Utilized multithreading and parallel programming to improve audio preprocessing script from 18 files/min to 731 files/min, cutting processing time by 80 hours over the course of the project• Automated full factorial design of experiments for validation of 172 combinations of model hyperparameters and preprocessing parameters in 23 hours• Conducted statistical analysis in Minitab to evaluate results of DOE, resulting in a classification accuracy of more than 90% with minimal model size• Automated documentation processes for FDA Design History File with python and JavaScript

• Automated project estimation, inventory, and project management systems with Google Apps Script, enabling the completion of several dozen house painting projects while in school

• Performed image segmentation of DICOM files using Mimics Medical to produce 3D models of neurovascular anatomy• Identified cerebral aneurysms, recorded location and type to provide labeled data for a Neural Network

• Designed a device to standardize production while increasing quality of the product• Developed cloud-based project management systems to enhance manufacturing throughput• Responsible for quality control and on-site work to fix any issues that came up for clients

• Designed hospital forms and web pages with PHP, HTML, JavaScript, MySQL, and web design patterns; improved record keeping and Key Performance Indicator tracking at 5 valley hospitals• Developed software using an encrypted Ubuntu laptop to access hospital servers via SSH in a HIPAA compliant manner

• Helped oversee a 16,000 sqft. residential interior remodel with up to 10 painters at a given time• Performed weekly inventory and purchasing of supplies• Met with the project manager weekly to schedule work so that it did not impede progress of the other trades• Delegated work to other painters to accomplish goals set in the weekly meeting