Term Trainer
An adaptive quiz to master legal vocabulary. Features three difficulty levels, a learning curve, and a comprehensive analytics dashboard.
Open Term TrainerI am Luciano P. de Moura: Business Administrator (MBA), Law student, and Python developer. I design and build data and AI applications for legal and corporate environments, from interface to infrastructure.
Applications from the Cognivus ecosystem, ready to be tested.
An adaptive quiz to master legal vocabulary. Features three difficulty levels, a learning curve, and a comprehensive analytics dashboard.
Open Term TrainerA data-driven jurimetrics assessment. Uses spaced repetition to cement legal and statistical concepts, displaying proficiency on a radar chart.
Open LexMetricAn ecosystem designed to train dialectical reasoning and analytical rigor—an "intellectual fencing" platform for professional debaters.
Open Axion RhetoricalA modular system for jurimetric analysis and intellectual routine automation, serving as the foundation for Cognivus's analytical modules.
Open CoreMasterI act as a high-impact individual contributor: taking ownership of a product from inception to deployment.
I handle the UI, data persistence, and analytical logic. Using Python, Streamlit, and Firebase, a product goes from idea to production seamlessly.
I integrate AI as a tool with mandatory human oversight. Where external APIs are involved, robust fallbacks are designed to ensure continuous uptime.
My background in Administration, MBA, and Law drives me to start with business pain points and regulatory risks before selecting the technology.
Data is the past, process is the present, and decision is the future.
How I apply my technical and legal stack to resolve critical bottlenecks in corporate departments.
The ProblemLegal decisions based on intuition and disconnected spreadsheets that fail to scale.
The DeliverableInteractive dashboards (Python/Streamlit) connected to your historical database to map trends, predict litigation risks, and guide financial provisioning.
The ProblemUnregulated use of public AIs by employees, creating data leak risks and compliance liabilities.
The DeliverableCustom Generative AI architectures using secure APIs and Explainable AI (XAI) to ensure full regulatory compliance (Data Privacy Laws).
The ProblemBillable hours wasted on manual document sorting, repetitive audits, and reporting.
The DeliverableData engineering pipelines (ETL) that create autonomous workflows, freeing your team to focus exclusively on strategy.
Core competencies backed by live projects, certified hours, or ongoing academic training.
StackPython, Streamlit, Firebase/Firestore, HTML/CSS/JS, API integration.
EvidenceCognivus live applications and GitHub repositories.
StackVersion control (GitHub/Vercel), DNS, API keys, Webhooks.
EvidenceDedicated subdomains on cognivus.com.br. AWS Cloud & AI fundamentals.
StackPower BI (ETL, DAX), Advanced Excel, R, Applied Statistics.
EvidencePower BI certs (72h), Data Science tracks (92h), Statistics (60h).
StackPrompt Engineering, Natural Language Processing, Responsible LLM usage.
EvidenceGenerative AI track (28h), NLP (25h), Anthropic Academy AI Fluency (8h).
StackData Privacy Laws (LGPD/GDPR), Corporate compliance, Jurimetrics.
EvidenceLaw Degree & Jurimetrics Postgrad (in progress), Public Law internship.
For job proposals, projects, or partnerships, connect with me on LinkedIn or view my academic trajectory on Lattes. For consulting, use the Cognivus platform.