Not hiring, but actively helping healthcare AI startups navigate compliance challenges.
If anyone here is working on health AI and running into HIPAA compliance walls (PHI handling, audit requirements, BAAs with vendors), happy to share what I've learned from consulting with 12+ startups in this space.
The compliance tax on healthcare AI is brutal, but there are patterns and tools that make it manageable.
Feel free to reach out if you're in this domain - always interesting to compare notes on real-world compliance implementations.
VLayer (my project) scans healthcare codebases for HIPAA compliance issues before they reach production. One thing I learned building it: developers rarely think about encryption until it's too late. Tools like VeraCrypt solve the "data at rest" problem, but the bigger issue in healthcare software is unencrypted data in logs and API responses — stuff that's much harder to audit manually.
VLayer (my project) scans healthcare codebases for HIPAA compliance issues before they reach production. One thing I learned building it: developers rarely think about encryption until it's too late. Tools like VeraCrypt solve the "data at rest" problem, but the bigger issue in healthcare software is unencrypted data in logs and API responses — stuff that's much harder to audit manually.