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Guilherme Luís Silva

@guilhermelussilva

AI Coordinator at Inspirali Educação who led Inspirali AI, a platform used by over 1,000 employees.

At Inspirali Educação, I technically led Inspirali AI, a corporate platform that brought together models from four providers and was used by over 1,000 employees. I coordinated a team of up to seven and supported the creation and rollout of more than 30 agents.

At MedRoom, I developed the AI layer for Simplício and other virtual patients, enabling conversational interactions for medical education in virtual reality. Earlier at Mutant, I developed NLP models for voice and text assistants, including entity extraction and tools such as spell checkers and Dialogflow interfaces.

Experience

Work history, roles, and key accomplishments

Coordenador de IA

Inspirali Educação

Jan 2025 - Aug 2026 (1 year 7 months)

Led the Inspirali AI platform used by over 1,000 employees, centralizing models from 4 providers with OpenWebUI and LiteLLM. Coordinated a team of up to 7 professionals, driving technical initiatives and supporting the creation of over 30 agents.

LLM RAG OpenWebUI LiteLLM MCP Python Docker Kubernetes AWS Azure CI CD MLOps Observability Prompt Engineering Agent Development

Cientista de Dados Pleno

MedRoom

May 2023 - Jan 2025 (1 year 8 months)

Developed the AI layer for virtual patients in medical education VR, enabling conversational interactions with LLMs and prompts. Built models for text and emotion classification using SVM, Random Forest, LSTM, GRU, and Transformers.

Python LLM RAG Fine Tuning SVM Random Forest LSTM GRU Transformers Docker Kubernetes AWS Azure Git GitHub

Analista de NLP Pleno

Mutant

May 2021 - May 2023 (2 years)

Supported NLP project decisions and improvements through Python/Jupyter scripts, exploratory analyses, and process documentation. Mentored new analysts while maintaining technical involvement in solutions.

Python Jupyter NLP Data Analysis Documentation

Analista de NLP Júnior

Mutant

Mar 2020 - May 2021 (1 year 2 months)

Developed NLP models for voice and text virtual assistants, including entity extraction, corpus evolution, and cross-validation evaluation. Contributed to production performance improvements and built Python tools like spell checkers and Dialogflow interfaces.

Python NLP Entity Extraction Cross Validation Dialogflow