Senior DevOps Engineer on the AI Platform team, owning cloud infrastructure and platform foundations for production AI workloads

Building and operating a LiteLLM-based AI Gateway to enable secure, scalable, and cost-aware access to LLMs

Implementing model observability and evaluation pipelines with Arize to support reliable AI experimentation and production monitoring

Developing shared AI tooling and infrastructure for machine learning, data science, and application teams

Led DevOps practices across insurance web services, improving reliability and streamlining user pre-authorization workflows

Orchestrated containerized Python and Java applications using Docker in AWS environments to enable scalable, repeatable deployments

Deployed and operated the ELK stack on AWS EC2 using Terraform, with a focus on performance, security, and cost optimization

Implemented AWS PrivateLink for Kibana watchers to enable secure self-service monitoring and improved operational autonomy

Executed IAM audits and automated access management using Terraform, implementing granular AWS IAM roles and policies

Designed and managed network infrastructure including VPCs, security groups, and security audits to improve security posture and scalability

Built and maintained CI/CD pipelines using GitHub Actions to improve developer velocity and delivery consistency

Drove infrastructure reviews and optimizations that reduced AWS costs by approximately $40k annually

Full-stack engineer, specializing in front-end, API, and database development for an insurance binding website.

Implemented features for the purchasing of high yield insurance add-on products.

○ Modified website to include new entry form for end user using Symphony, XSLT, CSS, PHP, and Javascript.

○ Took data entered via Javascript and loaded into local Mongo.

○ Transformed and sent data to back end SQL database.

○ Auto filled PDFs with data entered on web site.

○ Sent request through API for specific insurance company to ensure proper coverage bound.

○ Added endpoint to API for incoming quote requests.

Utilize Agile Scrum with two week sprints with approximately 13 other developers.

Develop automated Selenium unit tests leveraging Python and MongoDB to adhere to our TDD process.

Debug and develop software-as-a-service Java modules for insurance binding process.

Debug and treat legacy website framework written in standalone PHP and JavaScript.

Explore new ways to improve and automate the development / deployment cycle.