Aravind Jawahar

Product Manager

Gothenburg, Västra Götaland County, Sweden4 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expertise in advanced driver assistance systems.
Proven experience in machine learning and predictive maintenance.
Strong collaborative skills across cross-functional teams.

Stackforce AI infers this person is a specialist in automotive technology with a focus on advanced driver assistance systems and machine learning.

Contact

Skills

Core Skills

Data AnalysisDeep LearningControl SystemsPath Tracking ControllersAgile MethodologiesFunctional SafetyVehicle Performance OptimizationKinematic AnalysisMotion ControlFunction Design

Other Skills

ANSYSANSYS WorkbenchATI VisionAdobe IllustratorAnsys FluentArduino IDEAutodesk Fusion 360Business Relationship ManagementC (Programming Language)C++CasADiCollision AvoidanceCommunicationConvolutional Neural Networks (CNN)Cross-functional Team Leadership

About

Driven by curiosity and a passion for innovation, I am an ADAS Function Developer with a strong academic foundation and diverse technical interests. My expertise spans machine learning, vehicle dynamics, control systems, advanced driver assistance systems and software function development. I hold a Master’s in Vehicle Engineering from KTH Royal Institute of Technology, a Bachelor’s in Mechanical Engineering from MS Ramaiah Institute of Technology, and I am currently pursuing a Master’s in Systems, Controls and Mechatronics at Chalmers University of Technology. My proactive approach and relentless commitment drive me to achieve results. During my two years at Volvo Group, I have honed my ability to work collaboratively, navigate organizational dynamics, and take initiative to expand both my technical and product expertise. I have also gained valuable experience in understanding legislative norms and customer needs. By effectively communicating across cross-functional teams and with system owners, I have successfully implemented software improvements that maximize truck uptime and minimize customer impact. Currently, I am focused on developing ADAS technologies like driver alert support, pilot assist and other features to make Volvo trucks safer and sustainable.

Experience

4 yrs 2 mos

Total Experience

2 yrs

Average Tenure

3 yrs 3 mos

Current Experience

Volvo group

3 roles

ADAS Function Developer

Promoted

Aug 2025 – Present · 10 mos · On-site

Software Engineer

Aug 2023 – Jul 2025 · 1 yr 11 mos · On-site

My primary responsibilities were to actively contribute to data analysis and the development of deep learning models for predictive maintenance and the state of health of engine components, aligning with the expected Euro VII legislation. I also worked on the development and verification of diagnostic functions for engine components using Simulink and testing environments, including MIL, SIL, and HIL. Involvement in cross-functional team collaborations and technical discussions with calibration engineers to jointly develop or improve diagnostic functions was an essential aspect of this role. Similarly, analyzing field test truck data to diagnose and resolve false fault detections, thereby enhancing system accuracy and reliability, was part of my responsibilities.

Data AnalysisDeep LearningPredictive MaintenanceState EstimationSimulink

Master Thesis Student

Jan 2023 – Jul 2023 · 6 mos · On-site

Worked on developing lateral control strategies to ensure safe, comfortable and accurate positioning of tractor-trailer combinations in autonomous trucks. To provide a common platform for benchmarking different path tracking controllers which vary in complexity, a standalone low level path-planning method incorporating collision avoidance and automatic emergency braking was integrated hierarchically with the path tracking controllers. The benchmarked controllers include Pure Pursuit Controller, Stanley Controller, Linear Quadratic Regulator, Sliding Mode Control and Model Predictive Control.

Control SystemsPath Tracking ControllersCollision AvoidanceModel Predictive Control

Friday

Volvo Trainee Program

Aug 2023 – Aug 2024 · 1 yr · Gothenburg, Vastra Gotaland County, Sweden · On-site

Worked as a Technical Consultant at Volvo GTT through the Friday Tech's Volvo Trainee Program, where I gained experience in Agile methodologies, functional safety, cybersecurity, and presentation skills.

Agile MethodologiesFunctional SafetyCybersecurity

Zeekr technology europe

Summer Intern

Jun 2022 – Aug 2022 · 2 mos · Gothenburg, Vastra Gotaland County, Sweden

Worked with function design of One Pedal Drive as per ISO26262 under Motion Control, System Design and Verification team

Function DesignMotion ControlSystem Design

Kth royal institute of technology

Research Assistant

Mar 2022 – Jun 2022 · 3 mos · Stockholm, Stockholm County, Sweden

Provided assistance with measurements of bicycle longitudinal dynamics, GPS tracking and assessment of tire properties

MeasurementsGPS TrackingTire Properties Assessment

Kth formula student

Vehicle Dynamics Engineer

Jan 2022 – Dec 2022 · 11 mos · Stockholm, Stockholm County, Sweden

Conducted kinematic analysis and validation of the decoupled suspension subsystem to optimize vehicle performance. Tuning spring and damper settings, ensuring optimal dynamic behavior is an essential aspect of pushing vehicle performance for racing, where my simulation models for heave and pitch came in handy. I was also a one of the mentors for the incoming students to give an into to ground vehicle dynamics and control systems, fostering knowledge transfer and team growth.

Kinematic AnalysisVehicle Performance OptimizationSimulation Models