Fractional / interim CTO
Own the technical direction: architecture, roadmap, hiring and process, weekly delivery cadence, and clear technical communication with founders and investors.
Fractional CTO · Technical Advisor
Open to fractional CTO & advisory engagementsThe technical co-founder you can hire by the week.
I help founders make the right architecture and AI calls — set technical direction, derisk the hard decisions, lead the team — and when it counts, I can build the product myself. 10+ years of technical leadership, a 15-engineer studio led, technical co-founder several times over.
From setting technical direction to writing the code — most engagements are one or a blend of these.
Own the technical direction: architecture, roadmap, hiring and process, weekly delivery cadence, and clear technical communication with founders and investors.
Architecture and scalability reviews, AI feasibility & cost analysis, MVP rescue, and technical due diligence for founders and investors weighing a build or a deal.
Where AI genuinely belongs in your product — and where it doesn't. RAG, on-device speech, MCP servers and agent tooling, with cost-aware usage tied to the business.
When you need execution, not just advice: I take a product from architecture to a shipped first version — full-stack, AI, infrastructure and mobile, on real startup timelines.
Founder, technical co-founder and builder across AI infrastructure, data, and mobile.
The backend for AI-built sites. A single API that gives AI-generated apps a production backend — CMS, blogging, social scheduling, booking, and Stripe-connected commerce — plus an MCP server so tools like Claude Code, Cursor and Continue build against it with automatic brand consistency, and a zero-dependency TypeScript SDK. Multi-tenant, multi-language.
EU-sovereign compliance engine for the EU AI Act. Self-host it, point it at your LLM, and it becomes the regulator's proof layer: a tamper-evident HMAC hash-chained audit log, one-click Annex IV dossier export, an Article 73 incident workflow, and PII / prompt-injection / bias checks. Multi-tenant, multi-LLM.
Local speech-to-text with speaker diarization — no Python, no cloud, a single binary. Wraps a pure-C Qwen3-ASR engine (PyTorch-matching quality, hand-tuned SIMD, CUDA) with Pyannote 3.0 diarization via sherpa-onnx, plus optional local-LLM speaker identification.
Used-car valuations computed from 266k+ live listings across 11 European markets, refreshed 4× daily — with photo-based AI condition checks and fair-price ranges. Powered by the CarsDataset API (370+ brands, CSV/SQL export). A study in scraping, normalization and data engineering at scale.
A 60-second daily check-in app for parents of kids 4–14; an AI companion surfaces patterns in mood, sleep and behavior and suggests evidence-based techniques. Flutter, iOS & Android, 10 languages — built and shipped to both stores solo.
An AI character-animation engine — turns inputs into character animations through an AI-driven pipeline, for creators and studios who want to skip manual animation work.
Not just calling APIs — building the pipelines, models and tooling underneath them.
On-device Qwen3-ASR transcription with speaker diarization (gospeech) — pure-C inference engine, SIMD/CUDA kernels, streaming with encoder cache, and local-LLM speaker identification. PyTorch-matching quality, fully offline.
Retrieval-augmented generation systems end to end — document chunking, embeddings, vector search, re-ranking and grounded, cited answers. The plumbing that makes LLM features trustworthy in production.
MCP servers (Neural Draft), an LLM compliance engine (Lex Custis), and Promptual — a GPT-4o prompt-improver browser extension. The tooling that lets AI agents act safely and usefully.
Developer tooling used by hundreds of engineers.
Production-ready Flutter starter — flavors, Riverpod, GoRouter, localization. Saves teams 2–3 weeks per project.
OCR package wrapping Google ML Kit with partial camera-region selection. 56 forks.
Mortal Kombat built with Flutter + Flame — the live demo from my Zagorje DevCon talk.
Open vehicle-specs dataset — 35,000+ variants, 370+ brands, 1898–2026.
Built an AI-backend platform from zero to production: multi-tenant architecture, LLM generation pipelines, an MCP server and TypeScript SDK, and a cost-aware AI usage strategy.
Technical co-founder owning architecture and execution. Delivered the MVP under real startup constraints and set up CI/CD, code review and a weekly release cadence from day one.
Grew a dev company from 2 to 15 engineers. Acted as fractional CTO for multiple startups across mobile, web and backend; cut time-to-market with internal tooling and reusable frameworks.
Co-founded a recruitment-technology startup. Designed core system architecture, data pipelines and matching logic.
Fractional / interim CTO · technical advisory & due diligence · AI strategy · end-to-end MVP build. Tell me what you're working on and where you're stuck — I'll tell you the fastest sound path to it.