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Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault Contributor

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ChrisRPL/README.md

Krzysztof Romanowski

AI Research Engineer building multimodal, context-aware, real-world AI systems.

I work at the intersection of:

  • multimodal AI
  • autonomous systems
  • LLM agents and retrieval
  • 3D/spatial understanding

Currently:

  • AI Engineer & Researcher at Łukasiewicz Research Network (autonomous systems, perception, multimodal AI)
  • Co-Founder & CTO at Devrio (3D reconstruction and spatial AI)
  • Perplexity AI Business Fellow
  • Contributor to the SpeakLeash / Bielik ecosystem

Research Interests

  • Multimodal reasoning
  • Context-aware AI systems
  • Agentic architectures with retrieval, memory, and tools
  • Autonomous perception and decision-making
  • Efficient deployment of foundation models

Featured Projects

  • Cloumask — local-first agentic computer vision workbench
  • HiMAC-JEPA — multimodal JEPA world model for autonomous driving
  • HOV-ATR — open-vocabulary ATR with vision-language models
  • Futurnal — privacy-first personal knowledge engine

Pinned Loading

  1. Cloumask Cloumask Public

    Cloumask is a local-first, agentic desktop application for computer vision data processing.

    Python

  2. Futurnal Futurnal Public

    Private AI for Self-Discovery

    Python

  3. HiMAC-JEPA HiMAC-JEPA Public

    Hierarchical Multi-Modal Action-Conditioned JEPA for Robust Autonomous Driving World Models

    Python

  4. HOV-ATR-Hierarchical-Open-Vocabulary-ATR-System HOV-ATR-Hierarchical-Open-Vocabulary-ATR-System Public

    Open-vocabulary Automatic Target Recognition system using Vision-Language Models for zero-shot and few-shot recognition of previously unseen targets through natural language descriptions.

    Python

  5. Improving-Long-Range-Target-Recognition-for-Military-ATR-Systems-Using-Machine-Learning Improving-Long-Range-Target-Recognition-for-Military-ATR-Systems-Using-Machine-Learning Public

    Code implementation of paper: Improving Long-Range Target Recognition for Military ATR Systems Using Machine Learning

    Python

  6. Litio Litio Public

    Mapping localizations of garbages in forests collected from the drone in Flutter.

    Dart