Development of ADAS functionalities such as Autonomous Emergency Braking (AEB), Adaptive Cruise Control (ACC), Autonomous Emergency Steering (AES) and Lane Change using reinforcement learning.Investigating the agents performance variation by designing and implementing different reward functions.

To determine the relevant data and carry out Dimensionality Reduction using Machine Learning Algorithms: The aim of the project was to determine the relevant data out of a large dataset using Machine Learning techniques.▪ Algorithms such as Support Vector Machine, Kernel Support Vector Machine, Decision Tree, Random Forest were used▪ Results obtained from various algorithm implementation were then compared based on the accuracy achieved▪ Feature extraction technique was used to reduce the dimensionality▪ Enabling ensemble learning to obtain relevant data along with reduced dimensionality enhances the performance of the Machine Learning Model

▪ To design and develop a software interface for embedded device using C# to test a device under test(DUT)▪ Writing and reading the parameters to and from the embedded device serially to control the DUT▪ The DUT is an air-flow controller, which can be configured and its output can be visualized and measured

▪ To design and develop an efficient, low cost and low power DC power supply circuitry▪ To import data acquired via sensors and process it into a readable format in MATLAB for analysis

▪ As a trainer prepared the training documents and presentations and conducted the technical sessions for the new hires▪ As a subject matter expert, provided technical assistance to clients, team members and trainees on the operating system, active directory and customized applications over telephone or emails▪ Dealt with conference calls with clients and resolver groups for an enhanced service improvement plan▪ Supervised team of 15 technical support engineers

▪ Analyzed the bugs and found various solutions and workarounds related to operating systems and MS-Office▪ Provided technical assistance to clients, team members on operating systems and MS-Office

▪ Designed and developed a Salary distribution model using Machine Learning and Deep Learning ▪ Testing and quality assurance▪ Supervised team of 10 technicians▪ Developed an unique RO water purifier design with TDS (total dissolved solids) control which was employed by various manufacturers▪ Developed various sales and marketing strategy models for a better product sale