Design Engineer Python
Resume:
Aishwarya
Radjesh
Aishwarya Radjesh
TF *, Suchita Manere, No.18,
Ayyasamy Nagar, East Tambaram,
Chennai, India 600059
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Summary
Motivated and highly professional engineer with 3+ years of experience in Automotive domain. Experience in model based embedded software development. Practical experience with LiDAR sensors and artificial intelligence . Secured 15 th rank out of 1732 candidates during bachelors.
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Skills
MATLAB, SIMULINK, MXAM, TargetLink, C++, Python, SQL, Control Desk, CANoe, CANape, EXAM, Doors, advanced libraries in python such as Numpy, Pandas, Sci-kit learn for data analysis, Tensorflow, Keras. ㅡ
Experience
Valeo Schalter und Sensoren GmbH / Master Thesis Student May 2019 - Oct2019, Bietigheim
Implemented deep-learning for point cloud semantic segmentation of LiDAR sensor data. Application in object detection task in ADAS. Processing and visualisation of complex point cloud 3D data from LiDAR sensor using python and C++.
Porsche Engineering Services GmbH /Intern
Oct 2018 - Mar 2019, Monsheim
Developed automation tool for gearbox HIL validation of ECUs which uses CAN, FlexRay using Python with OpenCV, OCR, Sql . Assisted in functional validation of Gearbox control by performing manual testing in ControlDeskNG and thus worked with DOORS and EXAM. Valeo Schalter und Sensoren GmbH / Working Student Feb 2018 - Sep 2018, Bietigheim
Validation of LiDAR sensors in accuracy test bench. Modified test scripts using m-scripts in MATLAB and validated sensors in rest-of-bus simulated environment with Vector CANoe and ADTF.
Renault Nissan Technology and Business Center India Private Limited/ Model Based Design Engineer
Ju 2015 - Aug 2017, Chennai, India
Worked in a transversal team in Embedded Software department supporting the activities across V-cycle.
Developed and maintained library blocks using SIMULINK in MATLAB. Performed requirement analysis, MIL, SIL testing (autocode generation using RTW embedded coder as well as Targetlink from dSpace), and static code analysis using Polyspace and QAC.
Created m-scripts for testing the Model Based Rules in MATLAB and integrated the scripts in MXAM for release.
Good knowledge in model based design rules such as MAAB and coding standards and guidelines such as MISRA. Gained insights in AUTOSAR while transiting from existing guidelines to AUTOSAR standard. ㅡ
Education
Universität Stuttgart / M.Sc in INFOTECH specialization in Embedded Systems
Oct 2017 - Nov 2019, Stuttgart
Grade : 1.8
Machine learning
Lab course interactive systems: Machine Learning for Intelligent Mobile User Interfaces using TensorFlow
Embedded Systems
Deep Learning Applications for Communications
Modelling, Simulation and Specification : System C and UML
Detection and pattern recognition
Anna University / B.E in Electronics and Instrumentation Engineering
2011 - 2015, Chennai, India
CGPA : 8.92/10
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Languages
English - Business fluent French - A2 German - A2 ㅡ
Awards
I was awarded the FIFTEENTH RANK among 1732 candidates graduated from Anna University in the Degree of B.E in Electronics and Instrumentation Engineering
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Citations
Publication : "Improving the Input Accuracy of Touchscreens using Deep Learning" in Proceedings of the 2019 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Improved touch accuracy by 23.0% over recently implemented approaches.
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