• Implementing a customer-facing AI chat agent with Mastra, allowing users to query their machining data conversationally and uncover insights beyond what traditional reports provide.

• Established observability with Arize Phoenix while developing evaluation workflows to monitor quality, validate changes against goals without regression, and highlight areas for improvement.

• Contributed commits to both Mastra and Arize’s open inference library, improving tracing in Mastra and greatly enhancing the out-of-the-box experience of integrating Arize Phoenix with Mastra.

• Architected an event data platform using NATS JetStream, blurring the line between edge and cloud for real-time data processing and connectivity.

• Built foundational developer libraries in Rust to empowered engineering teams with efficient, domain-aware solutions that hide technical complexities.

• Leading a team building real-time data-driven systems with NATS, Kubernetes, Node.js, TypeScript, and Python on Amazon Web Services. Enabling customers to gain enhanced insights into machining productivity and facilitating actionable improvements.

• Served as tech lead building automations that provide insight and improve productivity with minimal human engagement.

• Developing on AWS using Typescript, Javascript, Node.js, React, SQL and GraphQL.

• Built and maintained in-house component library with Vue.js and SCSS alongside our UI/UX team, enabling developers to rapidly build new front end pages with consistent look and feel.

• Developed new customer features across the stack using Vue.js, PHP and SQL.

• Added additional functionality for existing customers with PHP.

• Designed and developed microservices used during the property claims process for damage appraisal and allocation of partnered service vendors

• Built in Java using the Spring Boot framework and deployed as docker containers on AWS

• Worked on continuous improvement projects to enhance the user experience for the current claims solution built with Guidewire ClaimsCenter