#1st engineer; owned 0→1; acquired.

Created and configured a Kubernetes cluster across multiple internal servers, implementing Ansible for automated deployments to greatly reduce manual deployment time.

Developed internal dashboards and tools using Next.js, containerized internal applications with Docker to enhance scalability and maintainability.

Continued development on an LLM and AI agent-based application supporting over 1,000 users, implementing additional features to improve system efficiency and user engagement.

Installed and configured hardware within physical Linux servers; automated infrastructure-wide deployments, increasing system reliability.

Worked on the development of a full-stack application, leveraging advanced LLMs to tackle internal use cases.

Utilized AI agents with LLMs, empowering the application to perform intricate data tasks with efficiency and accuracy.

Presented and demonstrated application to CTO Office, Corporate AI Lead, Senior Principal for Corporate Strategy, and other key decision-makers.

Garnered commendations and recognition for navigating and overcoming the multifaceted challenges posed by the application's complexity during the internship. Chosen to continue work throughout the fall semester.