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hviana/README.md

Henrique Emanoel Viana

AI Engineer & Computer Scientist AI agents in production · LLM orchestration · reasoning architectures M.Sc. in AI and Multi-Agent Systems, UTFPR · ORCID

I build AI systems that run in production, and research architectures for machine reasoning.

Sema — retrieval and reasoning in one search

sema combines high-dimensional vector search with an explicit knowledge graph. It indexes embeddings through an IVF structure over 1-bit quantized codes, and answers by chaining stored facts — retrieval and inference as a single search.

Output is deterministic, auditable and traceable to source, on CPU: an alternative to conventional RAG where hallucination and lack of traceability are unacceptable.

vector search · knowledge graph · explainable AI · no GPU Paper · npm

botIA — multi-agent AI in production (2025–2026)

Cofounder and software architect. A WhatsApp multi-agent platform: agent orchestration, tool calling, human handoff, AI-based lead classification, and integrations with ERP, e-commerce, CRM and calendar systems. Ceased operations in 2026.

Research

M.Sc. on explainability in deliberative multi-agent systems — reconstructing agent decisions causally from internal-state transitions.

Python · TypeScript · LLM APIs · backend · AWS · Docker


LinkedIn · [email protected]

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    faster_react core files

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  5. sema sema Public

    Sema is a non-parametric, instance-based reasoning system: a Vector Symbolic Architecture over a content-addressable memory, with inference by weighted automated deduction.

    TypeScript 6