The author attempted to secure a Head of AI position at a metallurgical company by developing a proof-of-concept project. The initiative was intended to demonstrate technical proficiency in data generation for industrial processes, specifically focusing on synthetic data creation.
Despite the development of a functional MVP within two weeks, the project did not reach the company's senior management. The author notes that the hiring process was hindered by corporate requirements regarding formal academic credentials in programming.
The technical documentation provided covers the architecture of the data generator and methods for validating synthetic datasets. The author plans to detail the implementation of CatBoost models and the creation of a microservice-based advisory tool in a subsequent publication.
