Profile

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.

Skills
Technical Skills

Tools: Python, ANSYS Workbench, SolidWorks, MATLAB, Simulink, LS Dyna, Capella, GT Power, Microsoft Office, Arduino

Soft Skills:

Technical Writing, Content Writing, Context Engineering, Documentation

Domains

Active & Passive Safety, Functional Safety, Impact Biomechanics, Electric Vehicles, Systems Engineering, Data Science, Generative Artificial Intelligence, Machine Learning

Work Experience
01/2024 – 10/2024Vårgårda, Sweden

Master Thesis Student

Autoliv Sverige AB
  • Developed a set of data-driven metamodels using machine learning tools in Python to predict injury and kinematic responses of occupants based on simulation data from Autoliv
  • Formulated an optimization algorithm using the injury criteria to select optimal vehicle restraint settings for varying frontal collision scenarios
  • Delivered a crash-scenario classification tool for adaptive restraint system calibration, presented as a design and development reference for Autoliv's simulation team (can be furnished on request)
  • 03/2026 – 04/2026Bengaluru, India

    CAE Engineer - Electric Vehicles Internship

    Simulation Lab
  • Investigated the cooling of an EV battery pack using nanofluids in a Battery thermal management system (BTMS)
  • Carried out 60+ parametric simulation studies leveraging Ansys Fluent to determine the optimal cooling setup for the prototype EV. (Certificate Link)
  • 01/2020 – 03/2020Bidadi, India

    Student Intern

    Bosch Limited
  • Implemented quality control measures and tolerance checks of the barrel and plunger, resulting in a 5% reduction in defective diesel fuel pumps
  • Utilized process capability indices (Cp, Cpk) to assess and improve manufacturing processes, collaborating with cross-functional teams to identify and address quality issues.
  • 08/2020 – 05/2022Bengaluru (Remote)

    Technical Automotive Writer

    eManualOnline
  • Researched and published 400+ news articles on cars, motorcycles, and motorsport events based in North American and European automotive markets
  • Delivered specialized blogs on motorcycling and motorsports as a subject matter expert (Webpage Link)
  • Projects
    08/2023 – 12/2023

    Chalmers Autonomous Racing League - CHARLEA

  • Project was carried out with a team of seven in collaboration with Revere Labs to build a fully functioning autonomous race car (Lynx)
  • Integrated LIDAR and camera perception hardware with OpenDLV microservices on a real autonomous race-car prototype (Lynx), enabling real-time environmental sensing for autonomous navigation
  • Assembled and mounted the onboard computer onto the car and assisted my team in assembling the steer-by-wire system into Lynx.
  • 08/2023 – 10/2023

    Driver Behaviour and Active Safety Systems in Critical Rear-end Situations

  • Examined driver behaviour and decision-making manoeuvres during rear-end collisions
  • Analysed and filtered dataset to study critical driver braking behaviour
  • Devised an Active Safety system using MATLAB with conservative and aggressive approaches using time-to-collision (TTC) as a threat assessment metric
  • Compared and analysed the effectiveness of the inclusion of FCW and AEB in warning and intervention phases in accident-prone situations
  • 03/2023 – 05/2023

    Comprehensive study and comparison of Bharat NCAP with Global Vehicle Safety Programs

  • Conducted an in-depth literature and policy review of the Bharat NCAP
  • Reviewed test protocols and metrics concerned with injury biomechanics – Head Injury Criteria, Neck Injury Criteria, Injury Risk associated with lower extremities
  • I identified gaps in literature and testing strategies and suggested improvements to amend the NCAP in future versions
  • 10/2022 – 12/2022

    Bicycle Overtaking Manoeuvres, Chalmers University of Technology

  • Conducted an in-depth study of driver overtaking behaviour around cyclists on various LIDAR mounting positions in a group project
  • My contribution involved processing and analyzing LIDAR data to find out overtaking gaps between vehicles and cyclists
  • Documented data findings and collaborated with teammates to correlate statistical t-test results in the final project report
  • 10/2022 – 01/2023

    Series and Parallel Hybrid Control on Simulink

  • Developed Simulink models of series and parallel hybrid configurations of a Mercedes CLS63 AMG
  • Analysed and compared performance and fuel efficiency using a custom driving cycle with urban and suburban driving conditions
  • Devised control strategies for series and parallel hybrid configurations with custom MATLAB scripts
  • 01/2020 – 08/2020

    Smart Helmet as a Passive Safety System

  • Developed a cost-effective helmet prototype using passive sensors to ensure that the rider can only start the motorcycle after fastening the helmet
  • The objective was to bring awareness and improve rider safety in urban and suburban areas by reducing the risk of injuries and fatalities on roads.
  • Education
    08/2022 – 10/2024Gothenburg, Sweden

    MSc in Mobility Engineering

    Chalmers University of Technology

    Relevant 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

    08/2016 – 08/2020Bengaluru, India

    B. Tech in Mechanical Engineering

    PES University
  • Automotive Engineering Specialization
  • Minors in Management - Financial Management, Human Resource Management, Marketing Management
  • Certifications

    Core MATLAB Skills

    MATLAB
    Languages
    English (Professional)
    Hindi (Proficient)
    Telugu (Proficient)
    Kannada (Proficient)
    Tamil (Proficient)
    Swedish (Preliminary (B1) )