Rahul Kajla

Responsible for creating, updating, and maintaining SQL database streamlining data manipulation and presentation for team. Working closely with explanatory data analyst to facilitate data visualisation. Leading understanding of current utilization of tools across Jacobs to achieve a standard Jacobs way. Facilitating development of Data Insights to facilitate business decision making.

Developed product roadmap with bridge engineer, aligning the product vision with market needs and business strategy. Led integration of Excel with Python, simplifying user experience for using PyMCT tool. Leading product development to automate bridge design, that will increase bridge engineer’s efficiency by 50%.

Facilitating the integration of Autocal and Flood Platform tools to enhance computational capabilities when utilizing Autocal. Performing code debugging on Autocal to enhance its functionality and improve the user experience.

Researched places where automated solutions can be implemented in field of structural engineering and conceptualised methodologies for automation. Led automated development of material models in Abaqus software and result extraction using MATLAB reducing manual input and increasing work efficiency by 60%. Led development of Machine Learning models as Finite Element model surrogate using Python and MATLAB reducing computational time of models up to 99%. Trained Machine Learning models to detect cracks in concrete, showing how simple Machine learning algorithms can be used to enhance structural integrity and safety.