Alex Weisberger Email & Phone Number

New York, Ny, Us

Atlanta, Georgia, Us

New York, Ny, Us

Full-stack mobile and web developmentContributed to:* the VTS iOS, iPad, and Android applications, written in Swift and Kotlin* the VTS web frontend, written in AngularJS / React* the VTS backend, written in Ruby on RailsProject Highlights:* Created a data pipeline that produced an analytics dataset for powering BI queries / visualizations. Integrated this dataset with Looker, a powerful SQL-based BI tool.* Created web and mobile stacking plans (grid-like visualizations of the physical layout of a building) that display leasing information for each rentable unit (i.e. current tenant, lease expiration, etc.). Acted as Tech lead on the web version.* Acted as Tech Lead on a large UI navigation refactor. Consolidated multiple pages that had unclear responsibilities into a single, unified experience. Utilized feature flagging to get lots of user feedback via a beta program and compared usage of the beta cohort using Looker / Pendo. Leaned heavily on one-way data flow in AngularJS to create the rich front-end components* Created a commandline application for making authenticated requests to the VTS server. This allows us to avoid constantly retrieving authentication information for Postman or curl, as well as dealing with other idiosyncrasies of the server (i.e. Accept headers). Added the ability to benchmark endpoints with this tool by passing a "--benchmark" flag which compiles and executes the appropriate Apache Bench command for the user.

Princeton, New Jersey, Us

Contributed to:* Hook'd, an iOS karaoke application where the karaoke tracks were the real master tracks of the songs, directly from the record labels* MusicPal, an application that used computer vision to read sheet musicProject Highlights:* Contributed to the pipeline for managing Hook'd karaoke track assets in AWS S3. * Contributing to backend services for MusicPal in Express.js. * Contributing to data collection pipeline for automated feedback to machine learning models using Python* Developed a commandline application for pushing validation tasks to Amazon Mechanical Turk using their HTTP API. These manual tasks were used to refine the computer vision model in MusicPal that was responsible for recognizing sheet music, much like a Captcha system.

Princeton, Nj, Us

* Cross-platform mobile application development of GPS navigation software (iOS, Android, C++)* Development and testing of integration library for applications to use GPS/navigation functionality (Java, C++)* Maintainer of production build servers (CruiseControl/Ant)