Shweta S
Bengaluru
Summary
Dynamic Software Engineer with experience at KPIT, specializing in Adaptive AUTOSAR and MATLAB. Achieved enhanced testing efficiency through robust harness design and proactive code compliance improvements. Skilled in C++ and problem-solving, I excel in Model-in-the-Loop testing and automation, driving product development and ensuring high-quality vehicle functionalities.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Software Engineer
KPIT
Bengaluru
05.2022 - Current
- Designed and implemented robust harnesses for vehicle simulation and validation, enhancing testing efficiency for adaptive AUTOSAR components
- Generated detailed MCDC and MIL test coverage reports, ensuring comprehensive functional verification
- Proactively identified and resolved MISRA and Coverity warnings, improving code compliance and reliability
- Led functional and Model-in-the-Loop (MIL) testing to validate critical vehicle functionalities, ensuring adherence to system specifications
- Streamlined MATLAB workflows to automate code generation, significantly reducing manual effort and improving productivity
- Project: HONDA Adaptive App Development & Testing
- Technologies: MATLAB, Adaptive AUTOSAR, AUBIST SDK
- Programming Languages: M-Script, C++
- Key Contributions: MATLAB Harness Creation, Coverage Reporting, Code Compliance, MIL Testing, Automation
- Specialized Features: Thermal Management, Real-time Updates, Energy Management, Range Estimation, AVAS
Education
Bachelor of Engineering - Electronics and Communication
KLE College of Engineering and Technology
Chikodi06.2022
Skills
- C
- C
- Python
- M-Script
- Adaptive AUTOSAR
- Model-In-the-Loop (MIL) Testing
- System Composer
- MCDC coverage reporting
- Problem solving
- Technical documentation
- Product development
- MATLAB/Simulink
- GIT
- KAP
- Agile methodologies
Languages
- English
- Kannada
Accomplishments
The High Flyer Award – recognized by KPIT for outstanding contributions to adaptive AUTOSAR app development and verifications, and quick learning
Ability and delivering high-impact solutions efficiently
Certification
- Microsoft Azure Machine Learning
Timeline
Software Engineer
KPIT
05.2022 - Current
Bachelor of Engineering - Electronics and Communication
KLE College of Engineering and Technology
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