Mohan Barathi Selvanayakam

As an Embedded Software developer in a Tier-1 Automotive company, I have worked on many challenging projects and cutting-edge technologies. While delivering projects based on Automotive domain to multiple OEMs, I gained substantial experience in software development and testing, low level device driver and application development on ARM Cortex microcontrollers and System on Chips. I have also worked in Automotive Android, Cluster and Convergence of vehicle display domain ECU's

Project:

Premium Convergence - Proof of Concept

• Good knowledge on different virtualization techniques : hypervisors and containers
• Experienced in different virtualization softwares : QNX and Redbend hypervisors
• Expertise in docker and LXC / LXD containers
• Worked on Qualcomm 820am and Samsung Exynos SoC
• Developed various smart vehicle solutions such as Alexa, telematics and gesture recognition.

Skills:

• QNX
• Automotive Android
• Alexa Auto
• Telematics
• Linux
• GIT
• AWS
• Docker
• LXC
• Hypervisors

Projects:

Adaptive AUTOSAR on GENIVI - Proof of Concept

• Made a detailed study on various SW components of GENIVI and Adaptive AUTOSAR
• Responsible for Security, Cryptography and Log & Trace functional clusters
• Developed a GENIVI stack, that meets the Adaptive AUTOSAR requirements.

Skills:

• Adaptive AUTOSAR
• C++ 14
• Yocto
• Cryptography
• Diagnostics Log and Trace
• SOME-IP

Vector AUTOSAR on Cypress - Platform development

• Hands on experience in board bring-up of ARM Cortex R microcontroller
• Responsible for SPI, UART, CAN and GPIO drivers of Vector AUTOSAR SW stack
• Developed a platform, that can be reused by several teams for ASIL compliance.

Skills:

• Classic AUTOSAR
• Embedded C
• JTAG
• Device drivers
• DaVinci Tools
• RQM

Jaguar Land Rover - NGI

• Worked on Life-Cycle and Power management of JLR infotainment units
• Responsible for Complex device drivers of AUTOSAR stack
• Good experience in development and debugging of SW on Reneses V850 microcontroller

Skills:

• AUTOSAR
• Embedded C
• CANOE
• Clear Case

Test Automation Framework development

• Developed a Test Automation Framework from scratch
• Implemented Keyword-driven Testing of different projects, in different stages of product development
• Worked with multiple teams across the organization, for automating the test cases
• Developed Solutions for Remote Testing and E-Mail integration for test reports.

Skills:

• Python
• Robot Test Framework
• TK-inter
• Keyword Driven Testing
• Automation
• Open CV
• Appium
• CANOE
• Numpy

Project:

Test Rig Management

• Automation of software update in test rig ECU’s
• Supported in tracking the usage of test rigs for effective utilization
• This project was later used in Continuous Integration and QVT testing, along with the Test Automation Framework.

Skills:

• SDLC
• Automation
• Linux

With coursework of electrical, electronics and computer engineering I was able to acquire the knowledge needed for my career in Embedded Systems.
Secured First Class with Distinction

Projects:

• Room occupants counter using proximity sensors
• Tracking of organisation transport vehicles using GPS / GPRS

• Embedded Systems
• Arduino
• SIMCOM 908
• GPS
• GPRS
• IoT

This nanodegree program includes advanced machine learning techniques and algorithms, and ways to package and deploy the models to a production environment using Amazon SageMaker.

Projects:

• Build a Python Package
• Deploy a Sentiment Analysis Model
• Plagiarism Detector
• Capstone Project : NLP on tweets for disaster Management

• Python PIP
• Neural Networks
• XGBoost
• AWS Sagemaker
• Kaggle

• Amazon Sagemaker
• AWS RoboMaker
• Reinforcement Learning
• ROS
• Autonomous Robots

• Agile
• Kanban
• Project Management
• SDLC

• Python
• OOP
• Design Patterns

• AWS
• Cloud Computing
• AWS EC2
• AWS VPC
• AWS S3

This nanodegree program consists of real world projects and immersive content built in partnership with top tier companies, such as Google, Uber and Nvidia.

Projects:

• Lane detection using Computer Vision
• German Traffic Sign Recognition using CNN
• Object detection using MobileNet
• Semantic Segmentation
• Behavioral Cloning
• Extended Kalman Filter
• Unscented Kalman Filter

• Computer Vision
• Neural Networks
• Supervised Learning
• Kalman Filters
• EKF
• UKF
• Functional Safety

• Agile Methodologies
• Scrum
• SAFe Agile

• Embedded Systems
• 8051
• ARM microcontrollers
• Entrepreneurial Skills