● Redesigned the Guardian project, a vital self-service internal application for AWS resource access using AWS Security Groups

○ Achieved 95% reduction in access removal time through engineering of admin dashboard using Python Flask

○ Strengthened compliance auditing through the engineering and integration of a custom Python AWS S3 logger

○ Migrated with zero downtime to a new production Kubernetes cluster utilizing ArgoCD

○ Enhanced deployments and security via transition to Helm and Hashicorp Vault from Kubernetes manifests and secrets

● Modernized organization-wide AWS Terraform infrastructure, leading to reduction of infrastructure updates by at least 66%

○ Increased security posture by ensuring timely updates through Bitbucket CI/CD pipeline for Terraform, including alerting via Slack/email for discrepancies

○ Eliminated downtime through the removal of unneeded rebuilds with custom bash scripts that reorganize state files

● Enhanced production Kubernetes deployment reliability through improved CI/CD pipelines with rollout status checks

● Built self-service transient token generation web app for critical data science application that secured Okta configuration details

● Architected and engineered an alternate monetization system for the internet that leverages users' personal devices as endpoints on a crowdsourced Content Delivery Network (CDN)

○ Managed development and production AWS environments

○ Built server-side coordination layer in Go utilizing AWS EC2, Redis, and PostgresQL

○ Built platform frontend in Typescript, React, and Electron

● Saved thousands of dollars by swiftly identifying and rectifying a critical AWS infrastructure issue within 12 hours of launch

● Launched the network with the capability to serve 151.2 TB/month from the participation of only 176 nodes

● Pitched to regional and national VC firms; selected as a top 7% startup nationally resulting in interview with Y-Combinator

● Achieved 40x speed increase for account compromise prevention by reimplementing as specialized Python tool

● Pioneered Linux Memory Forensics policy, enhancing internal investigation outcomes

● Conducted memory analysis forensics on compromised Windows and Linux systems

● Analyzed network traffic for malicious activity by cross-referencing IDS alerts with traffic flow data and packet analysis