Fractional CTO · Technical leadership

The business depends on software.
Someone must own the whole technical system.

I work with companies where software has become critical to customers, operations, or growth, but technical complexity has outgrown the current ownership structure.

I take responsibility across architecture, infrastructure, engineering delivery, and production AI while the work continues moving toward customers.

Necati Demir
Necati DemirPhD Computer Scientist · New Jersey, US

Recognizing the situation

This usually becomes necessary when…

  • Important technical decisions keep returning to the founder.
  • The team is busy, but delivery remains slow or unpredictable.
  • Software has become critical to the business, but nobody owns the whole system.
  • An AI initiative, acquisition, funding round, or product transition has raised the cost of getting technical decisions wrong.
20+ years in software engineering12 years of formal leadershipPhD in computer scienceCXO-level responsibilityTeams up to 30 people

What I take responsibility for

One technical system.
Clear ownership.

Architecture, delivery, infrastructure, and people affect one another. I take responsibility across those boundaries.

Examples from the work

Responsibility across
technical boundaries.

See the work

Selected writing

How I think about
technical ownership.

All writing
5 min read
Leadership

What Type of CTO Does Your Startup Really Need?

A CTO is not just a CTO. Early-stage startups need builders, growing startups need architects, and larger companies need executives. Hiring for the wrong stage can cost you hundreds of thousands of dollars and push the company in the wrong direction.

3 min read
Architecture

Your AI System Needs a Deletion Path

Deleting an uploaded file is only one step. Design and verify deletion across extracted text, search indexes, saved answers, logs, caches, and backups.

7 min read
Architecture

AI Cost Starts with Architecture

Model selection, caching, context, batch processing, and bounded workflows shape AI costs. Measure the full cost of a successful resolution.

The person behind the work

I follow the problem
across technical boundaries.

Clients have often brought me in for a narrow implementation problem. My responsibility expanded when the work exposed problems in architecture, infrastructure, delivery, machine learning, or technical ownership.

More about my work

Software has become too important to operate without clear technical ownership.

Tell me what changed, where the work is getting stuck, and what the company needs to accomplish next.

Discuss your technical situation