Mobility Engineering graduate (MSc, Chalmers) with hands-on experience in occupant safety and restraint system optimization. My master thesis at Autoliv used Python-based machine learning to predict injury and kinematic responses of occupants across different frontal crash scenarios. Backed by MATLAB/Simulink and CSWP-certified SolidWorks skills, with a focus on safe and intelligent mobility solutions.
Tools: Python, ANSYS Workbench, SolidWorks, MATLAB, Simulink, LS Dyna, Capella, GT Power, Microsoft Office, Arduino
Technical Writing, Content Writing, Context Engineering, Documentation
Active & Passive Safety, Functional Safety, Impact Biomechanics, Electric Vehicles, Systems Engineering, Data Science, Generative Artificial Intelligence, Machine Learning
Master Thesis Student
Autoliv Sverige ABCAE Engineer - Electric Vehicles Internship
Simulation LabStudent Intern
Bosch LimitedTechnical Automotive Writer
eManualOnlineChalmers Autonomous Racing League - CHARLEA
Driver Behaviour and Active Safety Systems in Critical Rear-end Situations
Comprehensive study and comparison of Bharat NCAP with Global Vehicle Safety Programs
Bicycle Overtaking Manoeuvres, Chalmers University of Technology
Series and Parallel Hybrid Control on Simulink
Smart Helmet as a Passive Safety System
MSc in Mobility Engineering
Chalmers University of TechnologyRelevant Coursework: Systems and Mechatronics for Mobility Engineering, Internal Combustion Engines, Electric and Hybrid Vehicles, Vehicle and Traffic Safety, Introduction to Data Science and AI, Impact Biomechanics, Connected fleets in Data-Driven Engineering, Active Safety, Fundamentals of System Engineering, Automotive Engineering Project
B. Tech in Mechanical Engineering
PES UniversitySolidworks Design Professional
Dassault SystèmesCore MATLAB Skills
MATLABTwo Wheeler Vehicle Assembly Training Workshop
TVS Training and Services