Healthcare + AI

Medicine. AI. Dogs.

Haven't decided on my next project yet.

I lead security assurance services at AWS, helping organizations build trust through strong cybersecurity, compliance, and risk management practices. My background spans offensive security, incident response, cloud security, and executive advisory work. I enjoy turning complex technical challenges into clear, actionable strategies that support business outcomes. I am currently based in Austin and passionate about mentorship, innovation, and the role of security in accelerating responsible adoption of emerging technologies.

AI security and governance, secure by design engineering, startup collaboration, and community mentorship. I am interested in connecting with others focused on advancing cloud trust, responsible AI adoption, and next generation security assurance models. Always looking to learn from inventive builders and share knowledge that helps raise the bar for the entire security ecosystem.

I’m currently researching the impact of natural language linguistic ambiguities on spec driven development.

Self-motivated and inquisitive internal medicine physician and data science researcher. Seeking to leverage clinical, research, and analytic background to contribute toward AI research. Currently a Medicine Expert Team Lead at xAI. Long term goal of developing machine learning based clinical decision support models with EHR data. Experience with creating and handling complex experimental approaches. Comfortable working in ambiguous problem spaces and generating concrete approaches and solutions. Research areas of interest involve novel architectures and classifications from ECG, echo video and report data, ICU time series data, and multimodal clinical decision support tools. Experience in statistical learning, deep learning theory, machine learning.

I am interested in gaining more hands on coding experience in a application/commercial setting. I want to learn more on this topic as it pertains to medical EHR data very significantly.

Currently doing data curation via web crawling, and synthetic data creation via prompt engineering and other techniques. More broadly playing a pivotal part of our LLM's training in the medical domain.