Lucas Azevedo

With VolumeX / Vx Crypto Labs, I designed a structured evidence and validation workflow for market intelligence research, using explicit criteria, classifications, and documented decision rules.

I reviewed analytical outputs for factual consistency, logical coherence, risk signals, and data-quality issues. I recorded failure cases and improvement opportunities.

I maintained organized research datasets and public-facing CSV records, including validation, operational, pressure, and evidence-timeline data. I also created terminology, governance principles, and process documentation to keep concepts consistent across analytical components.

Through OneForma - AI Data Evaluation and Language Quality Coursework, I practiced query-intent classification, guideline interpretation, relevance judgments, and independent web research. I’m seeking to contribute to language alignment, data annotation, and quality assurance projects for artificial intelligence systems.