Travis Czechorski

Developed and evaluated complex thermodynamic process engineering models and computational fluid dynamics (CFD) Python code solvers for industrial applications. Refined AI-generated responses for quality control in process simulations, optimizing performance and validating analytical results.

Performed electrochemical lab experiments, ensuring robust data interpretation and processing for quantitative analysis and model validation. Developed Python scripts to automate lab data processing, significantly optimizing efficiency (cutting analysis time by 99%) and improving code quality. Contributed to defining and building experimental setups and developing procedures for equipment operation.

Produced specialized catalysts and derived micro-kinetic models to simulate complex thermodynamic reaction systems. Calibrated and modified analytical systems (GC-FID) for chemical analysis and process optimization, ensuring accurate data acquisition.

Managed environmental lifecycle compliance projects for multinational entities, ensuring adherence to quality and regulatory standards (e.g., REACH).

Improved accuracy and efficiency of heat and mass transport models through data analysis, optimizing system performance for thermal processes. Performed in-depth heat transfer calculations and condition monitoring for critical plant pumps, supporting system design and quality assurance. Collaborated on design improvements for unique reactors and implemented scale-up processes applying heat and mass transfer principles.

Collaborated on design improvements for unique reactors and implemented scale-up processes applying heat and mass transfer principles. Performed FTIR, SEM, and XRD analysis, processing and interpreting experimental data.