Built cloud and AI solutions ranging from scalable AWS systems to agentic and RAG tools, streamlining consultant workflows and enabling secure use of proprietary knowledge. Partnered with client C-suite stakeholders to ensure technical solutions drove business strategy.

• Selective, application-based mentorship program for underrepresented demographics in STEM fields

• Mentored younger STARS I students by leading workshops on research writing, medical data analysis, career building, and academics

• Developed ML protocol for processing PET brain image data in a pilot study, securing $629,000 for future research.

• Created an automated web app to collect and analyze patient heartrate and movement data from Fitbit & PolarH7 devices using Python, JavaScript, and MySQL

• Presented findings as a speaker at ICANA-4, RSNA, and AACR conferences.

• Created GAN and VAE methods for synthetic PET data generation, generating power analysis for future research grants

• Developed testing framework for DjangoREST app using CircleCI & Selenium, reporting performance metrics advising future design

• Built PostgreSQL database on AWS RDS with Pandas & R. Increased search speed by 64% via search optimization with Django

• Created an API which extracted, formatted, and incorporated client engagement data into a JSON payload for CRM migration. Researched possible migration targets and formulated gap analysis. Sales calls and social media engagement rose 107% in the first month

• Designed media templates for marketing and client contact using Adobe Illustrator, Amazon S3, and HTML