Implemented and maintained auto-scaling data processing infrastructure to facilitate machine learning and monitoring applications, utilizing EC2, RDS, Kubernetes, and Argo

Developed ingestion tools for processing large-scale, multi-GB jobs multiple times per day, leveraging Python and Go

Administered company software infrastructure on AWS using Terraform and managed projects on GitHub and Jira

Mentored a team of six software engineers and data scientists, overseeing software development and project management practices

Orchestrated infrastructure deployment on AWS using Terraform

Developed high-performance and reliable web APIs and command line applications in Go

Monitored service performance and reliability

Managed CI/CD pipelines using GitHub Actions and promoted agile software development practices with Jira

Deployed and maintained multiple API microservices with Docker and Rancher

Utilized Azure Cognitive Services for face detection and use in multi-factor authentication

Visualized usage and availability metrics for customer dashboards using React and Express

Mentored and supervised interns and contractors to ensure high-quality outcomes

Created a user-friendly front-end web interface with Angular and Bootstrap to display log data and summary statistics

Integrated the customer support management system with internal logs for streamlined operations