Education
Massachusetts Institute of Technology
B.S. Computer Science, 2018
MEng Computer Science, 2020
Work Experience
Oticon A/S (Copenhagen, DK)
Machine Learning Intern, Oticon R&D (Sep. 2018 - Jan. 2019)
- Lead developer and project evangelist for AI-enabled hearing device
- Delivered end-to-end acoustic scene classifier (ASC)
- Built iOS application to pair hearing devices with ASC
- Developed proof of concept of inference capable hearing device using ASC with IoT
- Created crowd-sourced data collection pipeline
- Participated in inter and intra-company collaborations
Microsoft (Redmond, WA)
Software Engineer Intern, Azure Machine Learning (Summer 2018)
- Designed and implemented service to index Azure Workspace artifacts
- Exposed API for rich, keyword-based querying of heterogeneous data
- Integrated into Azure backend to provide new customer facing service
Software Engineer Intern, Machine Learning Server (Summer 2017)
- Designed and implemented centralized configuration scheme for operationalization of Microsoft Machine Learning Server
- Streamlined setup process for customers with updated UI and command line options
Explorer Intern, Microsoft Philanthropies (Summer 2016)
- Automated user-requested webpage creation with Angular and .NET
- Created data visualizations using Bing Maps to deliver actionable insights to non-technical staff
Research Experience
MIT Computational Psycholinguistics Lab (Cambridge, MA)
MEng Thesis (Feb. 2019 - Current)
- Building front and back-end system for annotating linguistics data
- Developing a model to integrate generic language with learning a theory of intuitive biology
MIT LIDS (Cambridge, MA)
Student Researcher, Computational Linguistics (Sep. 2017 - May 2018)
- Evaluated validity of a learning model against the dative alternation grammatical construction
- Employed statistical modeling and computational linguistics methods
MIT Media Lab (Cambridge, MA)
Student Researcher, Andorra Living Lab (Sep. 2016 - May 2017)
- Analyzed tourist patterns in Andorra to create easy-to-use tool for government to determine success of sponsored events
- Built various networks from gigabytes of data to understand information spread