Portfolio Management Engineering / Investment Performance Analytics / Performance Analytics

Software Engineering Intern for the Finance Automation team.

Worked on a laundry list of projects within the finance automation / business operations sphere. Examples included development of an internal OCR app for uploading financial information using Xamarin.Forms, conversion from JavaScript to C# of Azure-backed Teams chatbot for field agent use, setup of scripts and fine-tuning of numerous different ABBYY layouts and forms, improvement of bot modules using Microsoft's Graph API, creation of Python dashboard to better investigate fraud analytics and rules, and improvement of investor relations Power App.

Software Engineering Intern and Product Management Intern for Modeling Engineering teams.

Performed end-to-end development of analytical modeling APIs and MVPs for modeling pipelines; this included ideation, research, specification, presentation, development, and deployment of those products.

Software Engineering Intern for Azure Compute.

Worked on the Azure Mobile App, the #1 rated cloud app on both Google Play and Apple App Store. Implemented, tested, and deployed a new Azure Mobile App feature on both Android and iOS versions to hundreds of thousands of customers using Xamarin Native with C#.

Worked on projects with Research Professors at UW Paul G. Allen School. Recent work includes modeling & analysis of spatially variant genes in pancreatic cancer patients using Python, R, and MATLAB tools. Other recent work includes the construction of a pipeline for the detection of noncoding RNAs key to the regulation of ribosomal expression in eukaryotes.

Previous work included constructing deep learning models using TensorFlow for circadian gene motif detection, and developing an API in Python for single-cell data analysis.