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Boris Haviar

SOFTWARE & AI ENGINEER · FOUNDER

From complex
problems to
working products.

I design software systems, lead engineering teams, and build products—from architecture to hands-on delivery.

Boris Haviar holding a mug and laptop
Based in Vienna, AustriaWorking across borders.

EXPERIENCE IN NUMBERS

12+years in software~5years in technical leadership~10years working with AI

Where I can help.

Consulting and engineering services through AITea

Architecture & delivery

Turn a complex brief into a working system. Architecture, frontend, backend, and integration.

Technical leadership

Set direction, support your team, and keep building alongside them.

AI products & integration

Connect models and data to a useful product, with practical trade-offs in mind.

SELECTED WORK

Ideas made real.

Explore the full CV
Venture buildingChatbotechLed the company behind a drag-and-drop chatbot platform deployed at banks, shopping centres, e-shops, and insurers.National Bank of Slovakia · Erste Group · Tatra bankaExplore the details

Venture Leadership & Product Building · Led for several years · Venture building

I led Chatbotech for several years, working with our team to build the product.

Our team’s product was deployed at the National Bank of Slovakia, Erste Group, Tatra banka, and multiple shopping centres, including Eurovea, as well as e-shops and insurance companies.

The product

A drag-and-drop platform built by our team at Chatbotech, enabling people to create complex chatbots without writing code.

My contribution

I led Chatbotech for several years and worked with the team to build the product.

  • Led Chatbotech over several years.
  • Worked with the team to build a substantial product.
  • The final product was deployed at the National Bank of Slovakia, Erste Group, and Tatra banka, as well as multiple shopping centres, including Eurovea, as well as e-shops and insurance companies.

What we achieved

The final product was deployed at banks including the National Bank of Slovakia, Erste Group, and Tatra banka, and at multiple shopping centres, including Eurovea, as well as e-shops and insurance companies.

Venture leadershipProduct buildingTeam collaboration
Private AI in the browserOCNOBuilding private AI in your browser, with local inference, memory, and retrieval on your own device.Product · Engineering · Local AIExplore the details

Founder / Product Builder · CTO & Software Engineer · 2025–2026 · Private AI in the browser

A browser-focused local AI product combining inference, retrieval, and interaction with information.

Connects product ownership, browser architecture, applied AI, retrieval, and practical UX under device constraints.

The product

Private AI in the browser, connecting local inference with retrieval and personal information.

My contribution

Built the product and its browser architecture, including inference, memory, retrieval, and document workflows.

  • Product work includes browser-context retrieval, local chat, page summarization, explanation, translation, rewriting, and document questions.
  • Developed memory and retrieval experiences around browsing history and connected information.
  • Architecture includes a Chrome extension, side panel, background service worker, offscreen execution, content extraction, and IndexedDB.
  • Worked with WebLLM/MLC and WebGPU browser inference, local embeddings, and retrieval.
  • Worked on document vaults with PDF, Markdown, and DOCX workflows.
  • These are areas of product work, not a claim that every historical feature is in the current release. Inference and personal retrieval work run locally; the feed has used server-side collection with local ranking.
  • The February 2026 CV records Angular and JavaScript in the Chrome extension, with Python / FastAPI, SQLite, PostgreSQL, and Docker in the wider implementation.
  • Built an optimized local retrieval-augmented generation workflow for querying browsing history, generating embeddings, reranking, prompt engineering, and extracting context and data.
  • Models used included Qwen 3 4B 2507, Llama 3.2 1B, Qwen3 1.7B, Qwen3 0.6B, and Qwen3 30B, alongside testing other models.

What we achieved

Built browser-based AI workflows that combine local processing with practical information work. The technical work below spans product development; individual release capabilities may differ.

Browser architectureLocal inferenceRetrieval
Collaborative AI musicSongCircleA collaborative AI music experience where 2–5 friends shape one original song together, one choice at a time.Explore the details

Product Builder · 2026 · Collaborative AI music

A collaborative AI music experience where 2–5 friends shape one original song together, one choice at a time.

Connects a playful multiplayer product with browser-based music generation and a choice of local or cloud execution.

The product

A collaborative AI music experience where 2–5 friends shape one original song together, one choice at a time.

My contribution

Built the collaborative product experience, connecting group decisions with local and cloud music-generation workflows and a developer-facing browser library.

  • Built an experience for making AI-generated music together with friends.
  • Explored local hardware and cloud execution options.
  • Connected model capabilities with a shared creative activity.
  • Players join a room, take creative roles, and pass an idea around to shape a shared track without needing musical skills.
  • A computer can host generation for other players without taking a player spot; the first person joining becomes the room host.
  • The site offers free local AI music generation and an advanced cloud option using prepaid song credits.
  • SongCircle links to ai-music-js, the open-source browser music-generation library, so developers can experiment with the technology themselves.

What we achieved

Connected model capabilities with a shared creative activity, translating emerging AI into a social product experience.

Product buildingModel integrationShared creativity

CURRENT FOCUS

More capability.
Closer to you.

I’m exploring AI on your own device: the tools to run it, and the things people can create with it.

Three layers of local AI: product experience, application architecture, and inference on your device.
ProductArchitectureLocal inference

EXPERIENCE & A LITTLE CONTEXT

An engineer.
A curious human.

I’ve built across enterprise software, aerospace, and traffic technology. Away from the screen: piano, climbing, and questions about how people think.

Selected highlights only. Find more roles, ventures, education, recognition, and skills in the full experience.Explore the full experience

RESEARCH & RECOGNITION

Questions before products.

Earlier work in language processing, ontologies, graph systems, and localization research still shapes how I approach AI today.

01

BACHELOR’S THESIS / NER

Named-entity recognition

My bachelor’s thesis focused on named-entity recognition in language processing, alongside work with language models and ontologies.

Explore earlier research
02

2018 / RECOGNITION

UBIT Award / WKO

Master’s thesis: “Automatic WiFi Localization Calibration.” Research into automatic calibration of Wi-Fi localization systems.

View education & recognition

PODCAST, WRITING & COURSES

People are
more interesting.

Beyond the code: a podcast about AI and people, writing about technology and agency, and teaching through practical courses.

PODCAST / AI × HUMAN

AI na pohovke

A Slovak podcast with psychotherapist Andrea Platznerová about AI, people, and the interplay between them—how humans shape AI, and how AI shapes the way we think, create, feel, and relate.

Listen to the podcast
COURSE / TEACHING

Full-stack development · LEAF NGO

Taught junior and mid-level developers full-stack foundations, with workshops and supervised project work.

Explore the course

LET’S BUILD SOMETHING

Bring the difficult part.

boris.h@ocno.ai