Andrei Nita
Technology Executive · CTO · Data & AI
Technology leadership at the point where engineering becomes business-critical.
I've owned engineering, data and AI at Series B-D B2B SaaS companies - geospatial intelligence, AI platforms - scaling from an 8-person engineering team to a 1→15 data organization, with clear architecture and board-grade metrics as the throughline.
Over a decade owning engineering, data and AI
As CTO at McKenzie Intelligence Services I owned engineering and data for a B2B geospatial intelligence platform: 3× delivery speed, 60% lower cloud costs, a five-year roadmap set with the board. As Director of Data at Builder.ai I built the data organisation from one person to fifteen, delivering the investor-grade analytics behind three fundraising rounds.
I hold an MSc in Intelligent Systems from University POLITEHNICA of Bucharest.
What I've Owned
Technology
- Architecture, Engineering, Data, AI, Infrastructure
Organisation
- Hiring, structure, leadership, culture, scaled a division from 1 to 15
Business
- Economics, growth, fundraising support, board reporting
Transformation
- Delivery modernisation, cloud cost redesign, AI adoption to production
Selected Work
Point of View
Technology is an economic system.
→ AI Unlocks EconomicsTechnical debt is a financial liability.
→ McKenzie Intelligence Services case studyAI adoption is an operating-model change.
→ Why Most AI Strategies Fail to Produce ROIEngineering velocity without economic discipline is expensive motion.
→ Builder.ai case study
How Private Equity Actually Works
Private equity firms don't pick stocks, they become the company for five to eight years. A plain-English walk through LPs, buyouts, the fund lifecycle, and how the fees actually work.
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Technical Debt Isn't a Feeling. It's a Carrying Cost.
Technical debt isn't unmeasurable, it's unmonetized. A framework that turns velocity tax, incident cost, and hiring drag into one carrying cost a CFO can fund.
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The Vendor Contract Red Flags Most Technical Leaders Miss
A fair price at signing doesn't make a fair contract. Auto-renewal windows, price-lock expiration, data portability, and change-of-control clauses decide what it actually costs.
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