CS student at TU Eindhoven. I build AI tooling: agents, dev workflows, and the glue around them. Most of what I ship lives where LLMs meet real constraints: token budgets, context windows, flaky tools, production traffic.
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Turn a one-line idea into a branch with tested, reviewed, committed code. The brainstorm-to-commit pipeline for Claude Code.
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Generate cinematic launch films and pitch decks from a brief. FLIP morph transitions, audio bus, MP4 + PPTX export. A Claude Code plugin.
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Store your agent's context as images, read it back at up to 2.8x fewer tokens. Python package, CLI, and MCP server.
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Deterministic, tokenizer-aware encoder that compresses LLM planning and state files ~22%. No LLM calls, no broken code.
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Recursive DAG decomposition plus a temporal knowledge graph, so small models handle tasks that usually need big ones.
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Multi-agent grocery orchestration. One sentence in, full Picnic cart out. Built at Hackaway 2026.
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