AIP

• Designed 3 new key features for the SageMaker SDK so that its 5000+ users can better visualize, manage, and analyze their machine learning models & executions

• Utilized Python to implement features that allow for visualization of machine learning models & access to previous models

• Built new backend Java API that generates an adjacency list representing these models to support my new feature & to provide an improved approach for model visualization to SageMaker Studio UI

• Evaluated 4 Python visualizations tools & identified the best based on customer demand & integration into Amazon systems

• Improved 2 backend API flows for SageMaker Pipelines

• Implemented improved Pipeline deletion and stopping flows utilizing Java, AWS Lambda, and AWS Simple Queue Service

• Played lead role in API design definition & actively corresponded with team members for enhancements

• Developed iOS mobile app with 6 interactive AR features for Duke Athletics Department to enhance the tour experience for the 10,000+ annual Duke Basketball Museum visitors

• Utilized XCode (Swift, SceneKit, ARKit) to build a scavenger hunt with image recognition/3D tracking to overlay players’ highlight videos and to build other AR features (3D basketball shooting game, 360 degree view of museum, 3D player animations, Augmented Tour, & Duke Music)

• Played lead role in product definition (AR features, UI/UX) & requirement analysis with clients

• Implemented custom 3D models using Adobe (Dimension/Mixamo) & Apple (XCode, Reality Composer) to more accurately model Duke Basketball Players

• Learned lab techniques(micro-pipetting, welding, etc)

• Led and organized our team's research to harness energy from the fusion (protons/neutrons) in an IEC-9000 reactor. We modeled and built an apparatus to directly absorb the thermal energy from the fusion reaction to a constantly flowing supply of oil in a heat exchanger chamber, which would heat water and build up steam to spin a turbine.