Not every project needs a full AI pipeline. Sometimes you need a technical co-pilot — someone who can audit your architecture, review a critical codebase, unblock a specific technical decision, or integrate LLM workflows into your existing stack without ripping anything apart.
Senior-level engineering applied to a specific, scoped problem. No overhead of a full-time hire. No risk of a junior outsource. No months-long onboarding before useful work begins.
Deep review of your AI/ML architecture for performance, scalability, cost, and deployment readiness. Delivered as a written report with prioritized recommendations and follow-on roadmap.
Focused review of a specific codebase — C++, CUDA, PyTorch, or UE5 subsystem — for performance, correctness, and maintainability. Measured findings, not vibes.
Retainer-based advisory for teams making architecture decisions, evaluating vendors, or planning AI integration. Typically 2–4 hours/week of structured consultation plus async support.
Integrate AI into your existing workflows without ripping the stack apart. RAG pipelines, LLM-assisted tooling, evaluation frameworks, and cost-aware model selection.
Evaluate a target company's AI/ML architecture, engineering practices, and technical debt on behalf of investors, acquirers, or hiring managers. Written report with confidence-tagged findings.
Engineering teams needing a senior second opinion, investors doing technical due diligence on AI targets, founders wanting to integrate AI into existing products without a full pipeline rebuild, teams that want architecture-level guidance without a full-time hire.