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.

Technologies used: Python, Java, GoLang, Swift, React, GCP, Docker, Kubernetes, Helm, RabbitMQ, Redis, MongoDB.

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.

Technologies used: Python, Java, React, GCP, Docker, TeamCity, Concourse CI, Selenium, Appium.

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.

Technologies used: Java, JavaScript, C#, Selenium, Appium, Docker, TeamCity, Concourse CI, Bosh, Ansible.