Developed proof-of-concept React SPA for validating ground truth 2D CAD drawings vs. those auto-generated from 3D STEP filesBuilt & deployed Node.js web service to Azure Kubernetes Service for running frontend Jest / Selenium -based test suite & reporting results to SlackIntegrated Azure Application Insights to facilitate real-time troubleshooting of critical alerts, exceptions, & outages Updated frontend client library to support consumption of GraphQL-based APIs in addition to REST

Implemented push-button geo-failover of Azure Traffic Manager profiles associated with globally redundant microservices using AngularJS & C# (.NET Framework)Transitioned CI/CD logging backend from Azure Cosmos DB to centralized on-prem Grafeas instance as part of company-wide DevOps standardization initiativeUpgraded Jenkins pipelines with ability to report build & deployment metadata to PowerBI dashboard, enabling real-time visibility of CI/CD pipeline healthUsed New Relic to monitor multi-geo traffic across globally redundant microservicesLeveraged Splunk to address issues in staging & production applicationsAddressed Jira tickets in biweekly sprints at same load as full-time engineers & maintained documentation on Confluence

Studied applications of online low-latency machine learning for high-rate dynamic events under the direction of Dr. Austin Downey in the Adaptive Real-Time Systems labDeveloped an LSTM model for predicting damping movements in civil structures in real-time using Python (TensorFlow, NumPy, Pandas)Used Slurm to leverage an HPC cluster for optimized training times of machine learning models

Developed proof-of-concept for importing Airtable data into the Cognito Forms platform using C# / ASP.NETUpgraded legacy Cognito Forms WordPress plugin to support WordPress 5 using React & PHP