• Maintained and expanded a large ecosystem of test-driven Node.js microservices and React-based frontend components

• Streamlined content creation with a custom form generation app and reusable form library across applications

• Owned Node.js search infrastructure for Elasticsearch/OpenSearch, supporting multi-cluster zero-downtime upgrades

• Consolidated metadata schemas into a database-driven design for consistency across apps

• Built features for content ingestion and integrated external APIs to support partner workflows

• Led a high impact Java project on encrypted file uploads, ensuring high-security compliance

• Leveraged AI/automation tools to accelerate workflows and reduce repetitive development tasks

• Coordinated cross-functional work with infrastructure, security, and operations teams beyond the 20-person dev team, and led monthly developer catch-ups to keep projects aligned

• Mentored new hires and junior developers, helping them ramp up quickly and maintain best practices across the team

Part of Disney's Content Management platform, Full Stack Dev

Node, Streams, Koa, React 16, Redux, Microservices, Docker, Elasticsearch, Jest, Material, MongoDB, AWS, Kubernetes

Predictive Hiring Application - Led a small engineering team building a new ecosystem for the company's direction as they built up clientele that included Yahoo, among others.

Key initiatives: Built a solid development platform as it grew from a monolith and expanded into other service integrations. Designed to help developers move quickly to deliver features/bug fixes.

Tools: Apollo, GraphQL, Postgresql, Node, React, Redux, AWS (ECS, Elasticache, RDS, EC2, SNS, SQS), SocketIO, Kue, Python, MongoDB, Docker, Serverless

• Built Multi-Tenant infrastructure via Node/Postgres/AWS

• Designed customizable user permissions/roles for application

• Generated high-level abstractions to be used team-wide

• Automated as much dev-ops tasks as I can

• Strived to find a compromise between simplicity and functionality

• Interfaced with the Machine Learning Python API, handled deployment architecture, bug fixes and new features

• Collaborated with engineering team to manage overall architecture and mentor as needed

• Created a serverless microservice structure to allow for services such as notifications

• Coordinated with Product to facilitate feature sets and transform them into easily testable deliverables

• Met deadlines by maintaining and improving team engineering processes such as code reviews and test coverage

Kaleo is a SaaS search engine and captures/delivers enterprise knowledge in Q&A format

Full Stack / Integrations Engineer utilizing Node / React / Redux / Rails / Postgres

Maintained and designed proprietary APIs + worked with various integrations such as ServiceNow, + designed bots for Microsoft Teams, Slack, and Confluence to integrate with the Kaleo Search system

SaaS Application designed to enhance Real Estate Agents abilities to manage their day-to-day (appointments, up-to-date MLS information): built in React / Redux, Rails, Node / Express, Mongo, and Postgres.

• Improved development time through code reviews, generating engineering team guidelines, and using tools such as Redux to generate a structure for quick building and restructuring of code

• Refactored Ruby on Rails app to use React and take advantage of predictable state and virtual DOM

• Incorporated Redux and custom middleware to manage application state

• Fixed Node memory issues in current build by implementing queuing systems to handle bulk data writes from MLS feeds

• Built APIs to enhance user needs and lay the groundwork for new apps to connect and share data