Experience

Encora Therapeutics
• United States
• Medical Equipment Manufacturing
• 1 - 100 Employee
• Neuromechatronics Engineer

  • Feb 2023 - Present

Massachusetts Institute of Technology
• United States
• Higher Education
• 700 & Above Employee
• Student

  • Aug 2019 - Jan 2023

Lexington Medical, Inc
• United States
• Medical Equipment Manufacturing
• 1 - 100 Employee
• Mechanical Engineering Intern

  • Jun 2022 - Aug 2022


Athelas

• Czechia
• IT Services and IT Consulting

• Hardware Engineering Intern

  • Jun 2021 - Aug 2021

  -Oversaw multi-part assembly of 300 units of a novel pill-tracker device including sourcing and ordering materials, managing bill of materials (BOM), authoring manufacturing process instructions (MPI), training team of 20 operators, with a 97% yield rate. -Designed and executed product-testing strategy to diagnose issues with novel blood testing-device in preparation for FDA trials. -Employed computer-vision strategies including image augmentation, filtering, and the implementation of OpenCV packages -Retrained pre-existing deep learning models to account for higher discrepancies in image quality of a blood-imaging device. Show less



Quance

• United States
• Leasing Non-residential Real Estate

• Software Engineer

  • Aug 2020 - Mar 2021

  - Implemented React.js in order to design and construct a front-end web application for visualization of commercial real estate data and analytics. - Implemented Django backend infrastructure with the goal of querying various data to webpages for marketplace web platform. - Implemented React.js in order to design and construct a front-end web application for visualization of commercial real estate data and analytics. - Implemented Django backend infrastructure with the goal of querying various data to webpages for marketplace web platform.


Langer Lab at MIT
• Medical Device Design Researcher

  • Feb 2020 - Jan 2021


MIT Glaciology

• Machine Learning Researcher

  • May 2020 - Sep 2020

  - Constructed a Machine Learning pipeline for pre-processing, training, and analysis of Land-SAT Image Data seeking to show the positive relationship between crevasse formation and extensional, compressional, and shear strain rate. - Researched and understood mechanics behind Glacier fracture and ice flow, with capstone scienti fic research poster. - Constructed a Machine Learning pipeline for pre-processing, training, and analysis of Land-SAT Image Data seeking to show the positive relationship between crevasse formation and extensional, compressional, and shear strain rate. - Researched and understood mechanics behind Glacier fracture and ice flow, with capstone scienti fic research poster.



DeCoDE Lab at MIT

• Machine Learning Researcher

  • May 2020 - Sep 2020

  - Assembled an HTML automated Webscraper using Python in order to efficiently and automatically download image, CAD, and data fi les of user-submitted bicycle designs from an online database, for use in further deep learning model construction and analysis. - Wrote and executed a Convolutional Variational Autoencoder, along with other Deep Learning models, in order to effectively encode large image data-sets of user-designed bicycles into a latent space for reconstruction, nearest-neighbor clustering, and dimensional visualization, showing comfort with the PyTorch and Scikit-Learn packages. Show less