I'm a software engineer, machine learning researcher, and founder — passionate about building systems that matter.
Whether it's rethinking preventive medicine with full-body imaging, optimizing low-level DICOM streaming protocols, or designing resilient distributed data pipelines — I move fast, think deep, and build with purpose.
- Applied ML: from deep learning architectural design to ViTs and generative models for clinical imaging diagnostics
- High-leverage domains: finance, genomics, clinical medicine, and computational physics
- Systems: streaming architecture, edge inference, serverless compute, ML architectures, and clean API design
- Business: venture-backed scaling, technical storytelling, and turning zero-to-one products into growth engines
- Scaling TrueScan, a proactive healthtech company I founded — combining full-body MRI, radiology SaaS, and clinic infrastructure
- Developing novel ML pipelines for using deep generative methods for clinical inference
- Email: richiebailey74@gmail.com
- Text/Call: 727-735-2881
- LinkedIn: linkedin.com/in/rk-bailey
“Most of my code lives in private repos, work accounts, and research projects — but what matters isn’t the volume of commits here, it’s the velocity, clarity, and impact of what I build everywhere else.”