About

Akshat Joshi is a Controls Software Engineer-Fuel Cells/Electric Hybrid Powertrain at Cummins Inc. He specializes in advanced powertrains with a focus on exploring new technologies driving the automotive world. With a Master's degree in Automotive engineering from Clemson University-International Center for Automotive Research, Akshat has a technical skill-set that includes Powertrain Modelling and Simulation, Powertrain Software controls and testing, Vehicle Commissioning, Control theory (Classical, optimal and modern control theory), On Board Diagnostics, J1939, J2012, Machine Learning (Supervisory and non-supervisory), Deep Learning, Convolutional Neural Networks, CAN communication protocol, LIN, XCP, Embedded systems, HIL, MIL, SIL. He has expertise in software skills such as MATLAB/Simulink, Python, Tensorflow, OpenCV, GT-Suite, INCA, CANalyzer, Dymola, Mototune. Currently, Akshat is working at Cummins as a Controls Software Engineer-Fuel Cells Electric Hybrid Powertrains. His responsibilities include Powertrain Controls development and testing for integrated Fuel Cell Hybrid Powertrain system, Commissioning of Fuel Cell Hybrid Heavy Duty vehicle and validation of powertrain controls software, Defining requirements and designing the controls algorithm and interface development for different subsystems, Building test cases and testing algorithms on the test bench for different subsystems. Prior to this, Akshat worked as an Engineering Assistant at FEV North America, Inc. where he successfully validated OBD calibration for DOC efficiency and DPF efficiency monitors through a given test sequence on the chassis dynamometer using appropriate threshold parts to demonstrate emission compliance and MIL detection. He also performed OBD calibration validation for Frequent Regeneration monitor using Bosch Breakout box for a light-duty diesel engine and suggested changes in the base model for reducing the chances of false failure but also getting a successful fault detection for 120K miles aged vehicle. He has technical analysis and documentation of fleet testing and validation results of above monitors for the OEM client. Akshat completed his Bachelor's Degree in Mechanical Engineering from MNNIT in 2016. He is a Software Engineer with experience in test, OpenCV, Deep Learning, Python, ML, Research Scientist, Tensorflow, Neural Networks, and Integration. With 3.68 years of relevant experience, Akshat is always looking forward to connecting with people and exchanging technical views on Powertrain technologies.