Experience

HackDuke

• United States
• Education
• 1 - 100 Employee

• HackDuke Tech Dev

  • Feb 2023 - Oct 2023

  Durham, North Carolina, United States



Apple

• United States
• Computers and Electronics Manufacturing
• 700 & Above Employee

• Core OS SWE

  • May 2023 - Aug 2023

  San Diego, California, United States Worked closely with Core iOS and macOS team. Developed and pushed a production feature that fixed a bug impacting all devices before iOS 17 and macOS 14 Built a detection system for tracking iOS and macOS updates on over 1M devices. Played with the VisionPro



Duke University Health System

• Hospitals and Health Care
• 700 & Above Employee

• Researcher

  • Jun 2022 - Oct 2022

  Remote Developed ML model for hip fracture and total hip arthroplasty detection. Used Tensorflow datasets to decrease model training time by 5x De-identified x-ray burn in text from imaging data with 95% accuracy Compiled dataset for future use in product and future improvement with TraumaCAD.



Gradient Health, Inc

• United States
• Hospitals and Health Care
• 1 - 100 Employee

• Software Developer

  • Jun 2020 - Aug 2021

  North Carolina, United States Gradient Health is a medical imaging startup founded by ex Y-combinator alumni, has raised over $5M+ to-date Data wrangled the Grand Challenge RibFrac Dataset into a TensorFlow Dataset for company usage Created open-source contribution to TensorFlow/datasets repo Open-source contributed to dcmjs repo to speed up Dicom metadata read time Open-source contributed to Tensorflow/addons repo to support Dicom bit depth in histogram equalization



Gradient Health, Inc

• United States
• Hospitals and Health Care
• 1 - 100 Employee

• Software Development Intern

  • May 2018 - Aug 2019

  North Carolina, United States Recreated past state-of-the-art models based on the ImageNet benchmarks to learn ML techniques, including models such as VGG, ResNet, Inception, DenseNet, etc. Published Medium story summarizing past architectures aimed at ML beginners [Link] Utilized SIIM ACR Pneumothorax Segmentation Data to create a lung detection product for internal use