May 2021 – Jul 2021 · 2 mos

• Working alongside Research Engineers and Applied Scientists to build backend science components, including deep learning models that power the Rekognition platform.

Jun 2020 – Aug 2020 · 2 mos · Raritan, New Jersey, United States

• Deployed infrastructure with Apache Spark, Kubernetes, and Horovod to train Multi Instance Learning ML Models across hundreds of concurrent instances, integrated with TFRecord support to speed up training by 100x.
• Created a visualization tool for viewing multi-gigabyte whole slide images over the web with zooming functionality.

Feb 2020 – Aug 2020 · 6 mos

• Collaborating on a Research Paper regarding the Interactions between Intelligence and Humor
• Conducting Human Subjects Research and analyzing the results via statistical methods.

Nov 2019 – Apr 2020 · 5 mos

• Developing tool in Python alongside biochemistry researchers and students, that generates instructions for eliminating drug impurities caused by unwanted Host Cell Proteins.
• Developing an API with the Django Web Application Framework, so companies can test the tool and provide feedback.

Jul 2019 – Aug 2019 · 1 mo · Conshohocken, Pennsylvania

• Using Elasticsearch and Python, developed a tool that made it possible to sort terabytes of documents by symptoms, replacing a formerly human intensive manual process. The documents contained inconsistent formatting and descriptions as each physician provided the information using their own unique methodology.
• Improved methodology for identifying documents containing specific terms. Reduced the amount of time to process a significant quantity of documents from eight hours to several minutes.

Jun 2018 – Jul 2018 · 1 mo · Conshohocken, Pennsylvania, United States

• • Modified customer web portal to allow user to download data from SQL Server regardless of whether data was complete. Changes were developed using C# and XML.