π₯ Data Scientist @ HealthStream on the AI & Data Outcomes Team. Currently interested in NLP, ML Deployment/MLOps, and building AI products.
π» M.S. in Artificial Intelligence β concentration in Machine Learning, minor in Computer Science.
βοΈ My background is in medicine and public health. Ask me about it some time!
β A nice cold brew + oatmilk.
π Running with the dog.
π΅ K-pop jams on repeat.
π§ Podcasts:
software_engineering_fast.mp4
- Web application designed for users looking to travel and seeking adventure
- Accepts user preferences and returns a vacation destination
- Generative Adversarial Networks (GAN) used to convert daytime to nighttime images and vice versa
- Both pix2pix and cycleGAN models
- Machine learning and computer vision app used to translate text images into 3D printed braille models
- NoSQL database (MongoDB) using synthetic, real-world simulated healthcare data (FHIR/HL7) and cloud deployment along with live dashboards
- Adversarial AI project; tested limits of Azureβs FRT using computer-generated masks and shades
- 2nd place team in UNT Emerging Scholars Presentation Competition