The IDE reinvented for AI. Agent-first by design: plan with acceptance criteria, build against the live running app, and every change is verified before it commits. Built-in tests and audits, on a formally specified kernel.
From AI prototypes to production systems.
I help teams adopt AI and put it to work: from the first prototype to systems that hold up in production, and the team workflows that make it stick. Startup founder (SpeedInvest · Expa · Antler) and CTO for 10+ years. I take the work from strategy all the way to implementation.
/Prototype & build
AI prototypes built quickly to prove the value, then hardened for production (agentic systems, orchestration, evals and guardrails).
/Integrate
Connect AI to your platform: MCP servers, Claude and ChatGPT apps, plugins and extensions, API and tool integrations.
/Adopt & enable
AI adoption strategy and hands-on training for your team. AI coding, agentic development and new ways of working.
/Knowledge & workflows
Knowledge bases and automated workflows that put your company's data and processes to work.
Over two decades building production software as an engineer, architect, CTO and founder, now focused on applied AI. I work with teams on scoped, project-based engagements, whether they're starting out with AI or scaling what they already have.
Founder at OpenTide.ai and Head of AI Engineering at OLBG. Previously founder at Genie. Creator of Genie Framework. Postgraduate diploma in AI & Deep Learning, UPC Barcelona. Master's degree in Advanced Computer Science, University of Liverpool.
My work
What I'm building, for my clients and the open-source community.
Read-later app built around AI. Every article you save gets a summary, key points and an audio version you can listen to, and you can ask it questions. A recommender learns what you read and fills your Discover feed and daily Brief.
The web framework for AI agents. Agents build and change a running app through gated MCP tools. Each change is a typed mutation, verified before it commits and kept in an append-only log you can roll back. Token-efficient by design: agents work on precise app entities instead of reading entire codebases.
The highly productive web framework for Julia. An ecosystem of 15+ open-source packages spanning servers, reactive UIs, ORM, and deployment. Grown to thousands of users across academia and industry.
Genie Agents
Agentic system that generates Genie applications from custom-trained models. EU grant-funded, and my on-ramp from framework tooling into AI engineering.
Genie Builder
Visual UI builder with a low-code Julia backend and a built-in AI assistant, so developers ship data apps without the boilerplate.
Terminal Git client that makes everyday Git clear: review changes, stage exact lines, commit, sync, branch, stash and recover, in a fast keyboard- and mouse-friendly TUI. Runs on your installed git, so config, credentials, hooks and signing keep working.
YouKaraoke
AI music analysis and stem extraction on self-hosted models: analyses songs from any audio source, splits them into instrument and vocal stems, detects tempo, key and song sections, and transcribes the lyrics.
OLBG AI Search
AI answers at the top of OLBG’s site search: live tips with odds, tip counts and links to the matching pages, shown above the regular results. Powered by RAG over the site’s content, local classification models and hosted LLM APIs.
OLBG WebMCP
Tips pages enhanced with WebMCP, exposing structured tools so AI agents in the browser can query tips, odds and tipster consensus directly instead of scraping the page. Faster and more accurate for agents, unchanged for people.
OLBG Bot
The OLBG Tips Bot: ask in plain language for tips, tipsters or odds, and get answers built from the site’s live data, returned as rich tip and tipster cards. Combines retrieval, in-house classifiers and AI APIs to understand each question.
OLBG.brain
AI-driven knowledge management for teams, as a Claude extension. Versioned notes, decisions and skills with role-based sharing; Claude turns repeated procedures into skills teams can promote, and flags leaked credentials and duplicates.
Worktron
Agent-orchestration platform running autonomous agents in production. Agents audit code for security and SEO and run competitive analysis, triggered on pull requests or on a schedule. Model-independent: works with Anthropic, OpenAI, Kimi, DeepSeek and more.
Nextmol
MCP server and Claude plugin that connect a computational-chemistry platform and its API to Claude, so researchers can drive the platform directly from AI.
Neuroblox
The interactive UI for a neural-circuit simulation platform, used by neuroscientists to model brain interventions in silico.
Quantum Savory Studio
Visual studio for designing and simulating quantum networks on the QuantumSavory toolkit: place nodes on a map, configure slots and protocols, and run simulations.
Work experience
Head of AI Engineering
Leading AI adoption and engineering across a high-traffic, regulated product.
Co-founder
Founded and led a venture-backed developer-tooling company around the Genie Framework.
CTO / Founder
Built a cruise-booking price optimisation platform (Aprefis) and a high-traffic ad-serving and affiliate marketing platform (Advidi).
Earlier: Team lead and web developer roles across Bristol and Bucharest (2000–2011), building and leading web product teams in PHP and JavaScript.
Writing & speaking
Books
- 2022Web Development with Julia and Genie Co-author · Packt
- 2019Julia 1.0 Programming Complete Reference Guide Co-author · Packt
- 2018Julia Programming Projects Author · Packt
Talks & community
- 2017–24JuliaConSpeaker / organizer: Berkeley, London, Baltimore, Eindhoven
- 2016–25Barcelona Julia Users GroupOrganizer
- 2015–17IronHack BarcelonaMentor & trainer
Education
- 2025–26Postgraduate Diploma, AI & Deep LearningUniversitat Politècnica de Catalunya (UPC), Barcelona
- 2018–20MSc Advanced Computer ScienceUniversity of Liverpool
- 2016, 18Certified Scrum MasterScrum Alliance
- 2007–09MSc Computing (Cybersecurity)University of Bucharest
Let's talk
Starting with AI, taking a vibe-coded prototype to production, or scaling AI adoption across your team?
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