- Lead traction, low voltage, and signal (CAN, LIN) system architecture development for future electric trucks (Class 7 & 8).- Serve as a technical lead of a cross-functional team to drive project deliverables. - Provide input in the group’s future strategy development for future electric trucks and drive critical decision-making at various levels. - Manage charging system developments (including megawatt charging system, Plug and Charge, etc.) for next-generation electric trucks including ISO15118-2 and ISO15118-20 features. - Serve as Technical Lead and Project Lead for the eMobility Systems team.- Drive SFMEA and ISO26262 activities for End-User-Functions as needed. - Lead cross-functional support activities for electric trucks under production.

- Helped in expanding Magelec Propulsion (for electric vehicles) business in North America (Leadership).- Build and manage electrical engineering team in NA to develop market-leading fully electric or electric hybrid on/off-highway vehicles.- Defined and drove the group’s strategy, performance metrics, and decision-making at the top level to make an impact on the company’s success. - Facilitate customer projects and help the sales team to earn more business.- Collaborate with cross-functional teams to assist in faster product and system development (Team Player). - Coordinate and manage system integration projects, simulation activities, software development, measurement, and data analysis, and electric motor test bench/lab to optimize timebound system projects.- Introduced Azure Devops-based project management system to improve business efficiency through adopting an agile framework.- Publish internal white papers on EV system integration and mentor/train engineers to improve knowledge sharing.- Manage expenses to meet quarterly budget requirements.

• Saved costs, designed controls, and reduced development time by building mathematical models for surface equipment, conducting closed-loop simulation with National Instrument Hardware, allowing engineers to test and debug code without using any field equipment.• Improved version control management by maintaining git repositories and different product branches, assisting team.• Increased team performance efficiency by creating and providing tutorials for git and DevOps.• Facilitated timely project completion, and enhanced leadership decision-making capabilities by preparing and presenting weekly project update, gathering feedback from upper management.• Enriched processes by analyzing field data for modeling exercise and validating models against field data.

• Assisted company initiative for future smart machines by actively working on machine learning and autotuning algorithm.• Protected money by inventing smart engine torque management using a neural network-based algorithm for producing torque-limiting pumps.• Delivered customer competitive system by designing and generating software algorithms (Danfoss PLUS+1 micro-controllers) for different off-highway machines, such as Excavator, Forklift, and Backhoe Loader from start to finish.• Beat out the competition, won customer projects, by developing complete forklift work functions.• Showcased company integrated system excellence by implementing total power management schemes for higher fuel efficiency and productivity.• Won award for leading forklift projects efficiently from start to finish by maintaining communication and collaboration with cross-functional business units for product modifications or product demonstrations.• Enriched internship performance and quality by supervising and guiding interns on projects, providing training and instructions for accomplishing individual internship goals.• Amplified speed of control design, ease in data analysis, and machine performance by developing simulation models.• Recognized with the Technical and Service Excellence Award in 2017 for successful Forklift project completion.• Received Certificate of Appreciation in 2016 for winning customer projects while competing with competitors.

* Drive vehicle-centric Advanced System Engineering projects from start to finish.* Computer-based modeling and control (MatLab/Simulink) of vehicle systems, subsystems, and fluid power components* Off-road (agricultural& construction) vehicle conversion* Electrohydraulic vehicle systems design and control* Vehicle software development using C, Matlab, or proprietary internal languages (PLUS+1 GUIDE)* Develop project value propositions and document engineering results in white papers, engineering reports, trade magazine articles, and conference papers

• Met customer specifications and attained emission compliance by developing, validating, and testing common rail injectors as a part of new product introduction (NPI).• Enhanced strategic development and validations for proposed control strategies and related diagnostics by maintaining and operating test benches, simulating on-engine conditions.• Sustained production and quality requirements, enhanced future product development by participating in research and development for future fuel systems.• Resolved critical production issues by collaborating with cross-functional teams, identify root cause of injector performance problems, and developing solutions.

1. Trust Based Collaborative Control for Teams on Communication Networks, Air Force Office of Scientific Research (AFOSR), (2008-Present): Use of nonlinear and adaptive control techniques for synchronization of multi-agent systems while agent dynamics are nonlinear and unknown for a generalized graph structure. Explored the idea of distributed controller-observer duality for multi-agent systems. 2. Adaptive Critics for Nonlinear Continuous-Time Systems, NSF grant, (2007-2008): Designing advanced autopilots for quadrotor helicopter using nonlinear and adaptive control techniques.

Designing autopilot for quadrotors, adaptive distributed control for nonlinear multi-agent systems, designing distributed control for HVAC.

* Development and Testing of Real Time Algorithms for Fault Tolerance of Aerospace Applications, Aeronautical Development Establishment, India, (2006-2007): Design of fault tolerant autopilots for aerospace vehicles. * Development and Assessment of Modern Multivariable Control of Modern Multivariable Control Design Paradigms for Aerospace Applications, Aeronautics Research and Development Board, India, (2005-2006): Design of robust autopilots for aerospace vehicles. * Non-classical Approach to Autopilot Design for a Tactical Aerospace Vehicle, Defence Research Lab, India (2003-2005): Design of autopilot for a short range surface-to-surface skid-to-turn homing missile.