Driver Engineer

VEENA ARUMUGAM

PHONE: 214-***-**** EMAIL: *********@*****.*** ADDRESS: 27535 FRANKLIN RD, SOUTHFIELD, MI 48034 1 Page

SUMMARY

● Fast learner with proven ability to hit the ground running and deliver results quickly, seeking to further build on my existing skills and excel in the area of Embedded Systems.

● Expertise in Analysis, Design, Development, Implementation, and Production support, encompassing full software development life cycle.

● Well-developed communication skills, ability to work well independently and as part of a team, developing effective client relations, providing superior client service, and satisfaction.

● Highly analytical, performance-focused, and results-driven professional, offering knowledge of embedded software development, real-time operating systems, wireless sensors and protocols, and computer architecture.

● Knowledgeable of the diverse design application, as well as strategic planning and idea execution in adherence to existing company policies and regulations.

EDUCATION

MASTER OF SCIENCE IN COMPUTER ENGINEERING GPA: 3.83 2021 University of Michigan Dearborn, MI

Relevant Coursework: Embedded System, Automotive Sensors and Actuators, Advanced Operating Systems, Computer Architecture, Intelligent systems, Human-Computer Interaction. BACHELOR OF ENGINEERING IN ELECTRONICS AND COMMUNICATION ENGINEERING GPA: 3.3 2017 BMS Institute of Technology Bangalore, Karnataka, India Relevant Coursework: Microcontrollers, Microprocessor, Embedded System Design, Artificial Neural Networks, Wireless communication, Operating Systems, Computer Communication Networks. WORK EXPERIENCE

KPIT TECHNOLOGIES LTD. RMZ EcoWorld, Bellandur, Bengaluru, Karnataka SOFTWARE TEST ENGINEER 10/10/2017 - 30/04/2019

Project: SIL(Software in Loop) Validation for Powertrain Systems Description: The goal of the project was to ensure the accuracy of the developed C code for an Engine Management System by comparing it with outputs of client provided SIL models.

● Estimated the amount of work effort required for each module.

● Created and implemented the environment to execute all the test vectors.

● Tested the software according to test specifications.

● Analyzed the bugs, raise issues against Code, Model, and Specification.

● Participated in problem identification and solution management.

● Reviewed and prepared related documents for the errors encountered.

● Developed and implemented M-scripts to automate the validation process.

● Trained for new resources in team and continuous mentoring. BHARAT ELECTRONICS LIMITED Jalahalli, Bengaluru, Karnataka INTERN 04/07/2016 - 22/07/ 2016

● Introduced to a Radar Warning Receiver (RWR) that operated at a frequency range of 2-18 GHz, designed for installation on military aircraft.

● Trained in various testing equipment like Spectrum Analyzer and Network Analyzer for interception and identification of airborne and ground-based threats, missile guidance radars, countermeasures, and jamming. EI SYSTEMS TECHNOLOGIES C V Raman Nagar, Bengaluru, Karnataka 560093 INTERN 04/07/2015 - 01/08/2015

● Developed an in-depth understanding of myriad fields such as microprocessors and microcontrollers, sensors, DTMF technology, serial communication, Bluetooth control technology, Xbee wireless communication, Image processing, LCD interfacing, analog to digital Conversion, seven-segment display and stepper motor interfacing. TECHNICAL ACUMEN

Programming Languages: C, C++, Embedded C, ASM, Matlab- scripting, VB scripting, Python Embedded Platforms: Raspberry Pi 4, ATMEGA-8/16, Arduino, MSP430, 8051, 8085 Software Tools: Anaconda, MATLAB, Reactis, Simulink, HDL, Multisim, Keil Microvision, Xilinx, Octave, Cadence Virtuoso, Adobe XD

Communication Protocols: CAN, LIN, RS-232, I2C, UART. TCP/IP, UDP, 802.11, 802.3 VEENA ARUMUGAM

PHONE: 214-***-**** EMAIL: *********@*****.*** ADDRESS: 27535 FRANKLIN RD, SOUTHFIELD, MI 48034 2 Page

ACADEMIC PROJECTS

INFOTAINMENT SYSTEM OF TOYOTA COROLLA

An “unfriendly” design and usability critique were done for the infotainment system which was improved in terms of user requirement analysis. The conceptual redesign of new interface design and functional comparisons of old and new interface design was being done. Finally, an interactive prototype of the target interface using Adobe XD was created for further usability evaluation. The results of the redesigned “unfriendly” system’s usability evaluation were used to create the final prototype and user manual. MULTITASK WITH GESTURES, NOT CONTROLS

The system is proposed based on Computer Vision and Machine learning approach using Convolutional Neural Networks on the Raspberry Pi Platform which is a real-time embedded system (firm) that can continuously capture the behaviors of the driver, identify five different gestures of the driver behavior and perform certain actions in the vehicle accordingly based on the gestures of the driver. The final accuracy of the system developed was about 89.34%. FACIAL EXPRESSION RECOGNITION TECHNIQUES: A SURVEY & IMPLEMENTATION OF CNN This paper gives a comparison of different techniques used in Facial Expression Recognition along with its contribution. The performance is compared based on the number of expressions, the complexity rate, and the accuracy rate of the algorithm. Different databases, pre-processing, feature extraction and classification techniques gathered from different papers help to come to an understanding about the most powerful method to Implement the FER system using a haar feature-based classifier and Xception CNN Model with ab accuracy of 61.34%.

BLIND SPOT MONITORING SYSTEM WITH STEERING ASSISTANCE A blind-spot monitoring system with steering assistance uses sensors to detect vehicles in adjacent lanes that cannot be seen directly by the driver. The BSM warns the driver that another vehicle may be present at a blind spot and provides steering assistance functions that help avoid possible collisions with vehicles in a blind spot by driving the car back into its lane and away from it. HILL START ASSIST WITH HILL-HOLD FEATURE

● Designed a Hill Start Assist system that automatically keeps the brakes applied to help prevent the vehicle from rolling backward, in the span of time it takes the driver to release the brake pedal and apply the accelerator when the vehicle is stopped on a hill.

● The system engages automatically when a gradient of 3% or more is detected; it then holds the car stationary for two seconds after the brake is released giving the driver time to apply throttle. FEATURE EXTRACTION AND CLASSIFICATION OF OVERLAPPING CERVICAL CANCER CELLS USING ARTIFICIAL NEURAL NETWORKS (ANN)

• Designed, trained and simulated a system to classify real world LBC images as cancerous and non-cancerous, using concepts of image processing, artificial neural networks and deep-learning tools. Tool: MATLAB

• Method 1: pre-processing of LBC images (RGB- Grey conversion), segmentation of cell clumps (canny edge detection algorithm), Gaussian Mixture Models (Minimization- Maximization Algorithms) detection of nuclei (Level set function) and feature extraction. Features fed to a back propagation for classification.

• Method 2: Implemented Inception V3 network to classify images using Tensorflow on Docker Platform.

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PUBLISHED RESEARCH PAPER

• Seema Singh, Aaron Joseph, Elsa Mathew, A Veena, Deepak Yadav, ‘Feature Extraction and Classification of Overlapping Cervical Cells using Convolution Neural Networks’, McGraw-Hill International Conference on Signal, Image Processing Communication and Automation associated with IEEE (MH-ICSIPCA - 2017), pg 187-190. VOLUNTEER ACTIVITIES AND COMMUNITY

ENGAGEMENT

● An active volunteer for numerous blood donation camps, health and cleanliness awareness programs in the rural parts of the state by being a part of the National Service Scheme, NSS, (under the Ministry of Youth Affairs and Sports Govt. of India).

● I have been a part of the student’s club “ELECSIM”, organizing cultural and technical events such as ‘Mad Ads’,

‘Techcharades’ exhibiting team building and leadership skills.

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