CTO · CPO · AI Transformation Leader

Viktor Jovanoski

I turn AI ambition into systems that ship.

Senior Technology Executive with 25+ years in software and AI/ML. Founder of Terraformix. Open equally to full-time leadership roles and B2B / contract engagements.

25+

Years shipping software & AI

6

Countries with manufacturing AI in production

ISO

27001 as CISO · Bloomberg-scale data systems

Based in Slovenia · Remote-first across Europe

Selected Impact

Not just responsibilities — outcomes.

Most valuable when AI and engineering create measurable results: products on a predictable cadence, teams that adopt AI in how they work, platforms enterprises trust, and organizations that scale AI without losing control of security and quality.

Enterprise AI at scale

Led AI product strategy for a manufacturing AI company serving clients across six countries — production planning and optimization that enterprises run in production.

Concept to market-ready AI

Owned the full product lifecycle: turning complex AI — planning, optimization, MES/MOM integrations — into tools operators and planners use every day.

AI in the delivery loop

Cut release cadence to bi-weekly production while embedding AI tools across ideation, specification, implementation, testing, and deployment.

Hands-on technical leadership

Stayed close to codebase and architecture as CTO/CPO — platform design spanning MES/MOM, planning APIs, and Azure delivery.

Trust, security & governance

As CISO, drove ISO 27001 certification and ongoing compliance; practical responsible AI, privacy, and AI-system security awareness.

High-stakes data systems

Architected and shipped a high-performance anomaly-detection system and APIs for Bloomberg LP — large-scale market data under production pressure.

How I Work

Production beats promises.

I connect AI strategy with the people and systems that make it real — model and agent design, product decisions, architecture, security, team capability, and executive alignment. Hands-on enough to keep judgment sharp; accountable enough to own company-level outcomes.

Hands-on by default

Strategy without contact with the system becomes theater. Ideal mix: substantial executive ownership with regular technical contribution.

Leadership through transformation

AI is a change in how products are specified, built, tested, and operated — not a tooling upgrade. I coach teams through that shift.

Enterprise-ready AI

Most useful where AI must earn trust: manufacturing, regulated data, security-conscious environments, and products that survive real operations.

Where I remove friction

  • AI pilots stuck in notebooks or PoCs
  • Product roadmaps that never absorb AI capabilities
  • Unclear ownership between data science, engineering, and product
  • Weak evaluation, observability, or operational readiness
  • Security and privacy treated as afterthoughts
  • Release cycles too slow for learning from production

Engineering principles

01

Outcomes over experiments

A successful PoC that never ships is a cost center. Design for production from day one.

02

Literacy over mystique

Upskill product, engineering, and leadership so AI decisions are shared and durable.

03

Governance that enables

Security, privacy, and responsible AI earn the right to move fast — they should not stall progress.

04

Simple systems over clever stacks

Prefer understandable agent workflows, clear APIs, and maintainable platforms.

Working Preferences

How I prefer to work.

Interested in environments where AI and product improvements have visible business impact. Prefer long-term ownership, C-level alignment, and teams willing to change how they build — not just add tools. Full-time roles and B2B / contract engagements are both welcome when the fit is strong.

Open to

  • Full-time executive / senior leadership roles (CTO, CPO, AI transformation)
  • Contract / fractional / advisory AI & product leadership (B2B)
  • Remote-first teams (Europe-friendly)
  • Occasional travel / hybrid when it adds value
  • Terraformix engagements: audits, governance, custom AI delivery

Best fit

  • Companies where AI is central to the product or operating model
  • Roles combining strategy, product, and hands-on technical leadership
  • Domains with real operational complexity
  • Manufacturing, industrial, data platforms, regulated environments
  • Long-term collaboration over short “AI theater” consulting
Experience

From hands-on engineer to CPO/CTO leading AI products in production.

Path spans e-banking infrastructure, leasing ERP, large-scale market-data analytics for Bloomberg, and AI-powered manufacturing platforms — shipping hard systems, scaling teams, owning product and technical outcomes.

CTO / CPO / CISO · Qlector

2018 – Present

AI product strategy and platform leadership for manufacturing production planning and optimization. Shipped to enterprises across Central and Southeast Europe. Built teams, owned architecture (MES/MOM, planning, APIs, Azure), accelerated delivery with AI-in-the-loop development, and led ISO 27001 as CISO.

Owner & CEO · Carvic

2012 – 2018

Built and delivered a high-performance anomaly-detection system and APIs for Bloomberg LP; hands-on technical leadership on client-facing analytics and international data/API integrations.

CTO & Chief Engineer · Globus Marine International

2003 – 2012

Scaled engineering from 2 to 15; designed and shipped a leasing ERP suite from research through market deployment; established iterative, high-performance delivery culture.

Senior Software Engineer · Hermes Softlab (Comtrade)

2000 – 2003

Core e-banking modules and APIs; introduced stronger deployment and security awareness; ISO 9001 internal auditor.

Education

MSc Computer Science, University of Ljubljana (2023)
BSc Computer Science (2000)

Research

APRIORI-SD / APRIORI-C and related publications (IDA, EPIA, Journal of Logic Programming)

Certifications

Imago facilitator · FamilyLab educator · ISO 9001 / ISO 27001 internal auditor

Technology

Tools change. Judgment and delivery discipline do not.

Choose the right level of AI capability for the product — then make it operable, secure, and maintainable.

AI & agents

LLMs, prompt & context engineering, RAG, agentic workflows, LangGraph / LangChain, MCP, A2A, anomaly detection, production planning & optimization

Languages

TypeScript, C#, C++ / C, JavaScript, Python (working)

Data & platforms

PostgreSQL, MS SQL, MySQL, Azure Cosmos DB, Kafka, REST / OpenAPI, ERP & MES/MOM (incl. SAP)

Focus areas

AI strategy & transformation, product roadmap, engineering leadership, responsible AI & security, enterprise integrations, team AI literacy

Resume

Prefer a traditional résumé?

This page tells the broader story. A concise PDF is better for ATS systems, internal sharing, and hiring managers who want a printable overview. Machine-readable CV: viktor-cv.md.

Contact

Looking for someone who can make AI real — in product, process, and production?

Especially interested where AI matters to the business but capability is still uneven — unclear ownership, pilots that do not scale, product and engineering out of sync, or governance that is missing or blocking progress. Reach out for full-time leadership conversations or B2B / contract work.

Company site: terraformix.si