Work in software design using Scrum process for innovative, next-gen product on cloud, performing large scale simulation using scalable, modular containers-dockers, Kubernetes, REST API, Python, C++, MongoDB. Work on building collaborative data-centric applications. Work in software improvement by integrating external software like ROS with VtdScale using dockers, webviz/RVIZ, ROS gateway. Work on refactoring and optimizing code. Experience with CI/CD platforms like Jenkins, Azure pipeline which automates the software integration and build process using triggers, scripts. Perform algorithm development such as Automatic Emergency Braking (AEB) by building a controller using C++, API. Experience with enhancing software user experience by working on a graphical user interface to run simulations, analyze results using React, graphql, JavaScript, TypeScript, node.js.

Worked as an Autonomous Driving Simulation Engineer in the Services team for Virtual Test Drive (VTD). Developed custom plugins using C, C++. Created controllers and performed algorithm development using API framework. Designed and developed scenarios to simulate real-life situations like highway merge etc. Integrated VTD with external software like ROS, Matlab/Simulink, Adams, CarSim. Analyzed Lidar point cloud data. Performed software development and testing of algorithms in software-in-the-loop, hardware-in-the-loop, driver-in-the-loop and vehicle-in-the-loop setups. Worked on standardization projects in the automotive industry like OpenDrive, OpenCRG, OpenScenario, OpenSceneGraph and Optix. Performed traffic, pedestrian simulation and created static and dynamic content for building different test scenarios of driving simulation applications. Worked with cross functional teams to develop, troubleshoot, test, and maintain the software.

Worked in the software development lifecycle for production, prototype, and release for FCA vehicles involving development, integration, build, test, debugging of software for control modules using C, C++, Assembly code. Worked in the algorithm design and implementation of control algorithms in Torque Control team for Powertrain division using Matlab, Simulink, Target link. Experience in testing lifecycle which involved test plan creation, unit testing, component testing, integration testing on SIL, dSpace HIL, dyno/bench/vehicle testing setups using ECU/TCU (Engine/Transmission Control Unit), INCA validation. Experience in defining a project with the Systems team by gathering requirements and participated in DFMEA.

• Convolutional Neural Networks were thoroughly studied starting from the layers inside a CNN, to the detailed computations done by each layer.

• Developed algorithm for Convolutional Neural Network and Binarized Neural Network using Python and software packages like Theano, Lasagne, Pylearn2 etc.

• Worked on Linux operating system and Amazon Web Services cloud computing platform. Experience with image classification datasets like CIFAR10, MNIST, etc.

• Analyzed dropout feature to reduce overfitting.

• Analyzed factors like Dropout rate, Dataset size, Batch Normalization layer, Filter size and Dropout layer addition in both CNN and BNN. BNN showed comparable classification accuracy like CNN, and showed optimistic future implementation.

• Debugged the complicated code so that the high computational power requiring code can run without the use of high end computational resources.