Bakytzhan Konratov

worked at i4.0 digital shopfloor team - developed pipelines for processing IoT(MES) and energy data(time series) from production of home appliances in AWS enviroment(Kinesis, Redshift, Airflow, Lambda, S3,...) - Developed microservices using python (django, fastapi) - Contributed to the development of a Computer Vision application used in manufacturing processes

- Developing microservices for machine learning models using Flask - Utilized Docker to containerize the microservices - Created a responsive and intuitive frontend using React - Collaborations with the research team to understand project requirements and ensure the successful delivery of the application.

- Developed python scripts for automating SAP transactions. - Experience working with SQL and pandas for data cleaning and preprocessing - Worked on automating accounting processes using ABBYY Flexicapture via real-time optical character recognition (OCR). The features of accounting documents (invoices, expense reports) were extracted in xml format and processed in SAP. - Developed python application for automating financial processes related to reporting

Thesis topic: Symbolic Regression for Process Engineering