In my current role as a Software Engineer, I've developed company-wide rollback reporting and monitoring software to enhance team performance transparency. I've also worked on automating feature deployments, including integrating updates for our internal change management software to streamline production environment updates. Additionally, I've created user classification software to manage resource access levels based on user roles, ensuring efficient and secure access control across the organization.

As an Associate Software Engineer at Genesys, I built, maintained, and improved access management automation tools that handled cloud resource and resource package provisioning, de-provisioning, and access auditing. These improvements significantly boosted our service's resilience and ensured company-wide security and compliance. Additionally, I refined service monitoring, and reporting and made improvements to CI/CD pipelines.

As the Lead Data Scientist for the Middlebury Consulting Group, I oversaw an 8-member data science team, steering technical initiatives and projects. I managed a team of developers to provide a third-party review and consultation on the World Data Lab's World Population Clock model, addressing technical debt and recommending future development strategies. Additionally, I collaborated with consulting teams, offering guidance on data science-driven decision-making and resource-gathering to improve project outcomes.

As a Computer Science Department Teaching Assistant, I hosted biweekly office hours for the upper-level Systems Programming elective, assisting students with projects to rewrite the C standard library functions, fread(3), fwrite(3), mmap(2), and malloc(3), as well as command line tools including a shell and ls. Additionally, I independently built Shiny web applications in R to visualize tick population densities and pathogen trends. I also ensured polished demos and presented for the new Middlebury College midd.data initiative.