About CADOVIX.
CADOVIX is an independent engineering technology project focused on automating CAD-driven workflows, currently in its presentation stage.
Founder introduction
I'm Ovidiu Gruescu, the engineer behind CADOVIX.
I have always believed that engineering tools should make complex work more efficient, consistent and reliable, not add complexity of their own.
Using CAD software has never been enough for me. I want to understand how an engineering process really runs, see where repetitive tasks quietly consume time, and find a better way to carry them out.
CADOVIX is where my engineering experience, my attention to detail and my growing work in AI-assisted software development come together, with one aim: turning practical engineering problems into solutions that are thoughtful, dependable and easy to use.
Professional background
My background is built on extensive hands-on work with CAD systems, engineering workflows, product development processes and CAD/PLM support.
CATIA V5 is my primary area of expertise: parametric modelling, assemblies, technical documentation, Sheet Metal Design and the management of complex product structures.
I also work with SOLIDWORKS and have a working understanding of Siemens NX, Teamcenter and PDM/PLM environments.
Alongside engineering work, I have passed on knowledge through advanced CATIA V5 training, structured learning materials and workflow standardization initiatives.
Engineering, technical support and training have shaped one consistent approach: understand the requirement first, build a structured solution, and validate the result before it is handed over.
Technical focus
My focus is engineering process automation: connecting CAD systems, structured data and repeatable workflows. These are the areas CADOVIX is developing and evaluating, each solution scoped and validated individually.
- CATIA V5 automation, engineering utilities and workflow optimization
- Parametric modelling, assembly structures, drawing automation and technical data extraction
- CAD/PDM/PLM workflow integration and engineering data consistency
- Excel-based engineering data processing and automated technical reporting
- Engineering standards, validation procedures and technical quality checks
- Tailored CAD training and workflow documentation
- AI-assisted software development, with engineering judgement and verification kept central
I treat automation as an engineering discipline: requirements are understood first, assumptions are made explicit, and results are tested against real technical expectations.
The aim is not automation for its own sake, but practical tools that reduce repetitive work, improve consistency and leave engineers more time for engineering decisions.
Working principles
- Only verifiable statements about experience and capabilities.
- Confidential engineering data stays with its owner.
- Demonstrations use synthetic data only.