Patrick Valgento Email & Phone Number

Phoenix, Az, Us

Atlanta, 3400 Peachtree Rd Ne #800, Us

Designed and implemented scalable warehouse logistics software, leveraging Flask (and later FastAPI) and React for full-stack development, supporting a national network of warehouse operations.Selected and integrated technology stacks including Azure DevOps with Kubernetes, SQL Alchemy & ORM management in Python, and various testing tools, linters, etc. to ensure a smooth and modern development process & product.Designed & Established reusable, scalable APIs thatsupport the warehouse operations of multiple largeoperational vendorsWorked with scalable, performant data storage solutions todeliver secure, scalable, and predictable performance toconsumers

New York, Ny, Us

Spearheaded initiative to automate generating shippinglabels for device & peripheral deployments , savingthousands of hours of manual effortProduced machine learning implementation to processnatural language in servicing tickets and categorize issues,working with other teams to categorize and create a self-improvingfeedback loop to continuously improve the algorithmSet up API Suite to support automatic tracking ofautomation saves for dashboard and reporting metrics

New York, Ny, Us

Set up infrastructure using Spring, React and PostgreSQL to support automatic tracking of automation saves and presenting dashboard reporting metrics.Designed and Implemented automation ideas portal in SharePoint to enable users and colleagues to suggest possible saves and see the progress of their submissionsRefactored and set precedents for code quality and maintainability in multiple projects across teamsRealized multiple ServiceNow Catalog workflows to support various user journeys

New York, Ny, Us

Spearheaded initiative to develop automation software for asset management & deployment processes at an enterprise levelDeveloped procedures to make bulk operations on tracked assets with optional parameters, eliminating thousands of labor hours spent on monotonous tasks annuallyProduced scripts to automate post-imaging quality checks on over five thousand devicesManaged large volume of incoming tickets & device requests coming to deployment teamControlled deployment team asset inventory with upwards of a hundred devices being distributed in a single dayDeveloped predictive staffing model and staffing metric standards to allow organizations to accurately predict staffing needs for new sites and customer bases.