Every layer of your AI system, examined with the rigor of a peer review and the pragmatism of a production engineer.
Layer design, parameter efficiency, bottleneck detection
Data splits, leakage checks, reproducibility
Latency profiling, batching, memory footprint
ETL flows, validation, drift monitoring gaps
Contract consistency, versioning, error handling
Auth flows, secrets management, injection surface
Horizontal scaling, queue saturation, cold starts
GPU spend, redundant compute, caching gaps
Not a dashboard. Not a Slack message. A structured, written document you can hand to your board, your team, or your investors.
From first call to final report in 5 clear steps.
Your system is reviewed by Dr. Antonio Mastropaolo -- a researcher with 30+ publications in ML and software engineering. Not a junior engineer running SonarQube.
Every recommendation comes from someone who has shipped ML systems to production, managed inference at scale, and debugged the exact problems you are facing.
No 'consider adopting best practices.' Every finding includes the specific file, the specific line, the specific fix, and why it matters for your business.
All tiers include a written PDF report and a signed NDA. 48-hour rush available.
5-7 business days from codebase access to report delivery. A 48-hour rush option is available for critical timelines at an additional fee.
Read-only access to the relevant repositories (GitHub, GitLab, or Bitbucket). For infrastructure audits, read-only cloud console access or exported configs. We never need write access to anything.
All reviews are conducted under a signed NDA. Code is accessed through your existing version control, never downloaded to uncontrolled machines. I can also work within your existing security tooling (VPN, VDI, etc.).
Critical findings (security vulnerabilities, data leakage, production-breaking bugs) are flagged immediately via a secure channel -- you won't wait until the report to hear about them.