I build ML organizations that ship

I work at the intersection of ML research/engineering, organizational design, and business strategy. I can help you build and scale your ML organization to drive real business impact.

Building an ML organization?
Let's see if I can help.

Schedule a Conversation
Unmesh Kurup
01 — What I Do
Fractional Leadership

Fractional Head of AI / CAIO

I embed with your leadership team to set AI strategy, build (or restructure) your ML organization, establish governance frameworks, and create the technical roadmap. I've built the organizational infrastructure that lets ML teams do great work. If you're scaling from 5 to 50, or your existing ML org is underperforming, I can diagnose and fix the structural issues.

Technical Advisory

AI/ML Systems & Innovation

I designed and shipped AI/ML workflows that work in production —multi-step pipelines where AI agents autonomously plan, generate, and validate outputs at scale. I help companies move from LLM demos to production-grade agentic systems with real reliability and observability. I bridge the gap between what's possible in research and what works in production helping companies structure teams, processes, and infrastructure so that R&D actually ships.

Bridge

AI Transformation

Most engineering teams treat AI as something they add to a product. I help organizations make it foundational—overhauling their SDLC, developer tooling, and engineering practices so that AI accelerates every stage from design through deployment. From establishing LLM evaluation standards and prompt engineering practices to rolling out AI-assisted development workflows and agentic CI/CD pipelines, I've guided engineering organizations through this shift and know how to modernize without disrupting what's already working.

02 — Engagement Models

Three ways to work together

Each model is designed for a different stage of AI maturity and organizational need.

Entry Point

ML Org Health Check

Fixed scope · 1–2 weeks
  • Deep assessment of your ML team structure, processes, and technical architecture
  • Stakeholder interviews with engineering, product, and leadership
  • Written brief with prioritized recommendations and 90-day roadmap
  • Ideal for companies with existing ML teams that feel stuck or underperforming
Fractional

Fractional Head of AI

Monthly retainer · 3-month minimum
  • 10-20 hours/month embedded with your org / leadership team
  • AI strategy, org design, hiring, technical roadmap, and governance
  • Attend leadership meetings, conduct architecture reviews, mentor senior ICs
  • Ideal for companies investing seriously in AI but not ready for a full-time CAIO
Technical

Project-Based Advisory

Scoped engagement · 4–12 weeks
  • Hands-on technical advisory for specific ML/AI challenges
  • Model building, agentic AI system design, or ML product advisory
  • Architecture review, prototype guidance, and team upskilling
  • Ideal for companies with a defined technical problem and an engineering team ready to execute
03 — Writing & Research

Selected work

Publications, talks, and practical writing on building ML systems that work in the real world.

Let's Talk

Building an ML organization?
Let's see if I can help.

30-minute discovery call. No sales deck. I'll tell you honestly if I'm the right fit—and if I'm not, I'll point you to someone who is.

Schedule a Conversation
Typically responds within 24 hours

© 2026 Unmesh Kurup

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