Independent Technical Assessment for AI/ML Investments
Meghanath Macha | Head of AI, ZeroToOne | 15 Years ML Experience
I provide independent technical due diligence services for VCs and PE firms investing in AI/ML companies. With 15 years of experience building production ML systems, I help investors understand the technical risks, opportunities, and scalability challenges of potential investments. My focus is on practical assessment of code quality, infrastructure costs, technical debt, and team capabilities.
Deep hands-on experience building and scaling ML systems in production environments, from startup to enterprise scale.
Production ML pipelines, model serving, experiment tracking, and infrastructure cost optimization.
Distributed systems, real-time processing, data engineering, and scalability assessment.
Code quality assessment, technical debt quantification, and competitive moat analysis.
Architecture patterns, test coverage, documentation, dependency management, and maintainability.
Cloud architecture, scaling bottlenecks, cost projections, and optimization opportunities.
Technical team assessment, development velocity, hiring needs, and knowledge concentration risks.
Understand investment context and key technical questions
Code analysis, architecture review, and team interviews
Risk assessment, benchmarking, and scalability projections
Written report and discussion of findings
Schedule a confidential consultation to explore how I can support your investment decisions
Schedule Call EmailAll engagements covered by NDA • Response time: 24-48 hours