Noah Harris Email & Phone Number

San Antonio, Tx, Us

New York, United States

SaaS integrations Team

Learning and developing projects in AI/ML Space w/ Break Through Tech

New York, New York, United States

Automated the process of identifying and selecting testable components within the Bloomberg Terminal using Javascript, Typescript, and C++, speeding up the process of UI testing for engineers by 400%.Developed the entire back and frontend of this feature by utilizing and building out websockets and event emitters for front and backend communication and taking advantage of CDP features to communicate events happening within the Bloomberg Terminal.

San Antonio, Texas, United States

Developed a machine learning interface utilizing PySpark, Django, and frontend technologies for users to interact and give feedback to a human guidance agent developed within the Unmanned Systems Lab. Users provide ratings to a given set of videos and preferences are shared with the machine learning agent, which modifies rating scales to consider a users’ preferences which improved accuracy of agent’s actions by 150%.

Selected to be 1 out of 10 participants in the Waymo x Formation Software Engineering Fellowship. Participants will undergo a rigorous and structured data structures and algorithms curriculum designed by Waymo Engineers. Participants will gain practical skills and confidence in system design and learn industry best practices.

San Antonio, Texas, United States

Developed a full stack feature utilizing Java, SpringBoot API and React that supports 100+ million dollars of international and domestic wire transfer money daily and supports over 5000+ concurrent users at any given time. Conducted extensive testing through Cypress, Groovy, and Postman.Built backend services that allowed members to send, view, and manage their domestic and international wire transfers, and designed and implemented the accompanying UI.

San Antonio, Texas, United States

Created a predictive model, which provided insight into resource allocation to positively impact the veteran community through 2050 in Texas and surrounding counties. Parsed through thousands of data points and utilized Python to build initial visualizations and extract necessary data to support findings.Led a team on how to format complex, extensive datasets as well as create effective visuals to demonstrate findings.