ABOUT DATAVEID
I'm Anass ELKAFAF, with a background in Data & AI engineering. While working on data projects, I kept finding the same problem before analysis, BI, automation or AI work could really begin: the data first had to be understood, checked and made reliable enough to use.
WHY I STARTED DATAVEID
I first built Dataveid as a tool for my own work. I wanted a more structured way to inspect data quality, understand what was wrong, review evidence and make changes without blindly cleaning everything. As it developed, I thought it could also be useful to other people and organizations dealing with the same problem, so I'm continuing to build it for real use cases.
BUILDING DATAVEID
Dataveid is still evolving through testing, real runs and new use cases. I'm building it around deterministic data-quality checks, Business Rules, evidence-based review, controlled remediation and selective AI assistance.
AI-ASSISTED ENGINEERING
I use modern AI-assisted engineering tools and agents to move faster on implementation, testing and iteration. I still treat product direction, engineering decisions, validation and release decisions as explicit parts of the development process.
PRACTICAL AI EVALUATION
For Dataveid's AI-assisted features, I've tested different model and API options with attention to usefulness, reliability and cost efficiency. The goal is to use AI where it adds real value, not simply choose the largest model available.
OPEN TO COLLABORATION
I'm open to discussing Dataveid use cases, Data & AI projects, technical collaborations, and relevant opportunities to join or work closely with a team.
