Nikhil Bindu Shaji

Master's candidate specialising in battery systems, machine learning, and precision sensor calibration. Actively seeking thesis or working student roles in EV technology and smart manufacturing.

Worked to finance Master's studies in Germany. Operated across inbound sorting, inventory management, and outbound divert in a high-throughput fulfilment centre. Demonstrated consistent shift reliability and precision under operational pressure.

Key grades: Battery Storage Systems (1.0) · ML for Engineers II (1.0) · Algorithms & Programming (1.3) · Advanced Seminar: International & Sustainable Production (1.3) Master's Project Thesis: Calibration of BDD-WC smart cutting tool sensors — Python DAQ pipeline, NI PXIe hardware, R² > 0.95 linearity (conductive Seebeck-effect methodology). Laboratory courses: MATLAB · Computer-Aided Production Methods · Practical Internship

Final Year Thesis: Solar Desiccant Air Cooling System — analysed desiccant dehumidification with solar flat-plate regeneration across four operating modes. Mini Project: Magneto-Rheological Fluid Braking System — modelled braking torque using a quarter-vehicle model; validated 20+ Nm output at 1.8 A. Relevant to EV braking and active safety systems.