Built a business case for the adoption of containerization and Docker, Kubernetes, and Helm for large scale system deployments, allowing the company to take on larger clients for its AI/ML-driven test automation platform.
Developed training documentation and coaching sessions for the company’s engineering staff and support all core projects throughout the adoption of these tools.
Transition the company to a cloud-based, scalable core platform. Design and build auxiliary Python services for cloud architecture in GCP using MongoDB and RabbitMQ to auto-scale and self-heal in Kubernetes.
Migrated the core platform backend away from a macOS-specific implementation towards a cross-platform runtime using Miniforge and Poetry.
Built a Swift Menu Bar app for a native look and feel on macOS.
Devised an end-to-end CI pipeline with TeamCity for the company's core platform, significantly reducing the amount of time needed to release new versions.
Spearheaded the start-up's own company-wide VPN with tunnels to GCP, implementing GCP's best practices for multi-project network configurations.
Contributed to full-stack engineering efforts for the company's core platform, including adding cross-browser support and parallelization capabilities, and a major transformation from a CLI to a web UI based product.
Headed the same team I had joined as an intern back in 2014, mentoring a total of 40 interns over a span of seven semesters building internal testing tools. Responsible for training, guidance, thorough code reviews, One-on-Ones and team-bonding.
Drove the design and implementation of a modular UI automation framework written in Java and a company-wide quality dashboard using a microservices architecture.
