Lucas Mota

Key Skills

Software

Internal/Proprietary Tooling

Google Cloud Vertex AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Document

Top Label Types

Fine Tuning

Evaluation Rating

Function Calling

Prompt Response Writing SFT

Entity Ner Classification

Text Summarization

Freelancer Overview

I am a Product Manager and Innovation Consultant with a Master’s degree in Intellectual Property, specializing in the development and fine-tuning of AI-driven solutions. My expertise lies at the intersection of legal frameworks, product strategy, and technical AI implementation. I have hands-on experience building intelligent agents using n8n and RAG (Retrieval-Augmented Generation) architectures, ensuring high-quality data inputs for optimal model performance. What sets me apart is my ability to bridge the gap between technical requirements and regulatory compliance. I have a deep understanding of AI governance, ethics, and intellectual property, allowing me to provide high-level evaluation for complex datasets, particularly in the legal, business, and software development domains.

Labeling Experience

AI-Powered Digital Hospitality Concierge (Tayọ̀)

Internal Proprietary ToolingTextFine TuningEvaluation Rating

Development and refinement of a specialized LLM-based concierge for the hotel industry. The project involved curating a proprietary dataset of hospitality protocols, guest FAQ, and local tourism data. I performed Supervised Fine-tuning (SFT) and designed complex prompt-response pairs to ensure the AI maintains a consistent brand voice while handling real-time guest requests through RAG (Retrieval-Augmented Generation).

Development and refinement of a specialized LLM-based concierge for the hotel industry. The project involved curating a proprietary dataset of hospitality protocols, guest FAQ, and local tourism data. I performed Supervised Fine-tuning (SFT) and designed complex prompt-response pairs to ensure the AI maintains a consistent brand voice while handling real-time guest requests through RAG (Retrieval-Augmented Generation).

2025

Dataset Structuring for Startup Legal Compliance

Google Cloud Vertex AIDocumentEntity Ner ClassificationText Summarization

Classification and annotation of legal documents and regulatory frameworks for Brazilian startups. The project focused on identifying key clauses, intellectual property assets, and compliance risks to train models for automated legal auditing.

Classification and annotation of legal documents and regulatory frameworks for Brazilian startups. The project focused on identifying key clauses, intellectual property assets, and compliance risks to train models for automated legal auditing.

2023 - 2025

Education

Work History