Roles that connect high-temperature research, measurement, industrial energy performance and software delivery.

Seven months embedded at Siemens Energy Finspång in the Fluid Dynamic Lab. Conducted numerical investigation of steady-state thermo-fluid performance of a reducer geometry for a high-temperature dynamic pressure sensor calibration rig (Pulsatorn). Built compressible CFD and conjugate heat transfer models in ANSYS Fluent (k-omega SST), conducted three-level mesh independence study, and applied Biot number analysis to decompose thermal performance. Identified flow-regime asymmetry between geometry variants (Ma 0.990 near-choked vs Ma 1.006 supersonic vena contracta). Also commissioned NI-DAQ measurement chains, modified LabVIEW VIs, ran independent test campaigns at up to 700°C, and conducted a formal root cause analysis of a heater failure resulting in an approved project scope revision. Used Siemens NX and Teamcenter PLM2020 throughout. Supervisor: Prof. Jens Fridh, KTH. Thesis: TRITA-ITM-EX 2026:14.

Developed and independently validated a quantitative methodology for industrial energy performance mapping, covering KPI/EnPI design, load-driver logic, metering-gap assessment, deviation detection from noisy operational data and regulatory comparison. The work was desk-based method development and decision-support framing rather than hands-on plant execution, with electrical utilities and compressed air treated as relevant electrification pathways.

Implemented and maintained backend API endpoints in TypeScript/NestJS, delivered reliability fixes, wrote endpoint tests including negative-path validation, and used Postman automation in production-oriented agile teams.