Responsible for contributing to project teams spanning many tech stacks- Served as the technical lead and lead developer/data scientist on a sales and forecasting data platform for a pharmaceutical company, delivering advanced analytics and data visualization solutions.- Developed native iOS applications leveraging Swift, SwiftUI, CoreData, Combine, and SDKs like Resolver and Nuke.- Engineered native Android applications using Kotlin, Jetpack, Dagger, and Retrofit.- Applied MVVM and Clean Architecture patterns in both native iOS and Android platforms to ensure sustainable, scalable, and testable codebases.- Built and maintained REST API backend services in C#, enabling secure and reliable data communication.- Designed and implemented frontend web solutions using Angular and React.- Led the development of a digital signage tvOS app with a companion iOS app, ensuring cohesive functionality across devices.- Acted as a technical advisor during sales calls, providing expertise in computer vision, mobile development, and data and analytics projects.- Implemented a device management system for MichiganLabs using Apple Shortcuts and Google App Scripts, proving a low-tech solution for a company-wide problem.- Developed a proof-of-concept ASL keyboard app for Apple Vision Pro, enhancing typing speed and accessibility.- Delivered tailored software solutions across industries such as logistics, pharmaceuticals, automotive, and higher education.

- Lead data architect and engineer on a consumer insights journey generating an additional $84 million in revenue for the company’s B2C vertical- Utilized Amazon Selling Partner API and Google Analytics API to feed custom-built ETL pipelines orchestrated by Azure Data Factory- Rewrote several revenue-critical data pipelines, emphasizing efficiency, resulting in decreased runtime costs and more up-to-date data- Initiated the consolidation of separate Data Science and Data Engineering teams into a unified Agile practice

- Created and automated a data-driven product for customers demonstrating how to safely return to the office amidst the COVID-19 pandemic- Led a team of four interns in the redesign and implementation of the customer-facing Quality Claims portal - Used Azure, Mask R-CNN, and TensorFlow to architect an object recognition prototype displaying the capability and importance of AI in data integrity to company IT leaders- Developed a web-scraping tool as a data completeness check for a business-critical project

Responsibilities included teaching a two-hour lab session, holding office hours, writing homework assignments (writeups and code), and grading tests.

Responsibilities include teaching a two-hour lab session once a week, holding office hours, and writing homework assignments (writeups and code).

- Maintained code within the .NET framework across a cloud-native environment- Wrote SQL scripts to automate multiple business-critical consumer reports, eliminating the need for manual queries of complex databases- Rewrote Visual Basic code in C# to enable improved platform stability and maintainability within the business- Wrote test suites for new feature releases- Utilized Azure DevOps for CI/CD and revision control- Worked remotely as part of an agile team due to COVID-19 Pandemic

- Designed and developed an ETL Java application in a hybrid cloud environment- Fault-tolerant, multi-treaded, revenue critical system handling petabyte-scale data- Integrated Kafka and Amazon Web Services (emphasis on S3)- Created and implemented unit tests with JUnit 4, Mockito, and PowerMock- Created and implemented integration tests with Cucumber- Utilized AWS Command Line Interface, Maven, Docker, SonarQube, and GoCD as development tools- Handled up to a billion records an hour- Participated in a daily scrum as part of an agile team

Assisted entry-level Computer Science students with class projects and homework.