Shane Williams
Machine Learning Engineer/Student
Talent
Boston, City of Boston, SuffolkMember since March 9, 2025
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About
Masters student in Bioinformatics with 2+ years experience in Fullstack Software Development, interested in pivoting to a Machine Learning Engineer role in Healthcare. Proficient in TensorFlow and Python, with academic experience building models from medical-imaging datasets. Hands-on experience deploying and scaling deep learning models on cloud platforms like GCP and AWS.
Experience
Tufts Machine Learning Research Lab | Machine Learning Researcher | Sept 2024 - Current
- Researched semi-supervised and transfer learning approaches to predict aortic stenosis severity from low-quality Point-of-Care Ultrasounds (POCUS) under the supervision of Dr. Michael Hughes.
- Implemented Gaussian Process Abstention in our Multi-Instance Learning model to enhance distance-awareness, allowing the model to better handle out-of-distribution data, giving clinicians greater confidence in its performance on real-world datasets.
- Developed additional performance metrics and analytical insights to support the integration of SAMIL into clinical practice, focusing on understanding the potential impact on healthcare resources.
- Integrated Stripe Direct Payments to enable customer-to-customer purchases and subscription management for recurring payments on the Lute.ly web platform.
- Designed and implemented label account features, utilizing AWS Cognito and JWT token authorization to enable secure parent account functionality.
- Enhanced the performance of backend genre classifiers and led data curation initiatives to improve the accuracy of convolutional neural networks (CNNs).
- Created NuxtJS/VueJS web application for all Mobile Services API’s and documented all team repositories with Swagger.
- Increased code coverage for Mobile Team Github organization on average by 30.1%, became proficient using Golang Testify and Mockery for advanced end-to-end API testing.
- Implemented Google Cloud Function python script using JIRA REST API and GCP API Services to automate sprint analysis saving conservatively 48 hours of manual labor per Project Manager.
Education
Tufts University | Masters of BioEngineering: Bioinformatics | Sept '24 - May '26
Johns Hopkins University | Bachelors of Science in Computer Science | Sept ‘18 - May ’22