Anthony Angrimson

• Developed Shape-from-Silhouette software leveraging a foundational segmentation model for object extraction from simultaneous videos of objects of dynamic shape. • Exploring weakly-supervised techniques to fine-tune foundation model for improved segmentation without human prompts. • Exploring use of visual hull to implement NeRF model(VaxNeRF) confined to spatial bounds. Competencies: Computer Vision, Image Segmentation, Machine Learning Technologies: Python, PyTorch, Docker, Tensorflow, Pandas, Numpy, Go

• Developed an Android application for interfacing with our upcoming X-series of products • Worked directly with customers to develop and refine software utilities for interfacing with existing products • Developed and deployed cloud-based SIP server and user-facing dashboard for account management • Diagnosed and debugged low-level software bugs(C, Visual Basic) • Transitioned to a remote advisory role after leaving to pursue Master’s degree

• Wrote and maintained integration and regression tests for our internal suite of microservice APIs • Performed code reviews and communicating with developers about API design requirements • Diagnosed API bugs and reported on failing APIs

Studied the principles of Machine Learning, Statistics, and Data Science.

Learned the fundamentals of OOP, Data Structures, and Software Development.