RAGHAVENDRA R RAO

San Jose, CA - *****

+1-864-***-**** adjfjp@r.postjobfree.com www.linkedin.com/in/rrrao https://rrrpawar.github.io/ SUMMARY

Multifaceted and result-driven engineer entrenched in a challenging career in the engineering domain. Equipped with reliable skills and the ability to transform ideas and concepts into robust technical designs. Expertise in creating & managing complex mechanical & hardware systems applying reliable techniques as per industry-standard procedures. SKILLS

• UG-NX, CATIA, Solid Works, CREO

• HIL/SIL testing, dSPACE, CAN/LIN

• LMS Test lab, NI Diadem

EDUCATION

• Master of Science: Mechanical Engineering at Clemson University SC, US GPA: 3.72/4.0 Dec 2020 Modern controls, Autonomous driving, Non-linear dynamics, Mechatronics, Advanced Controls, Hybrid Vehicles, FEA

• Nanodegree: Self-Driving Car Engineer Udacity Nov 2020

• Bachelor of Engineering: Mechanical Engineering at Bangalore University, IN GPA: 3.67/4.0 July 2013 WORK HISTORY

Autonomous Vehicle Algorithm Modeling Program Dorle Controls Detroit, MI Sept 2020 – Nov 2020

• Developed algorithms for perception and planning for the autonomous vehicle architecture using MATLAB & Simulink

• Modeled and implemented SLAM using the point cloud Lidar dataset for localization & mapping of the environment

• Built and validated Model-Based Design (MBD) architecture for hybrid & Electric Vehicle powertrain control

• Effectively improved the algorithm accuracy for building binary occupancy map using various sensors for path planning

• Worked on developing the Driver Monitoring System (DMS) for detecting the alertness of driver in automation level 3

• Generated and tested the driving scenarios for cruise control, Lane Keep Assist (LKA), and Lane Change Assist (LCA) Automation & Controls Intern Sedron Technologies Greater Seattle, WA June 2020 – Aug 2020

• Established toolbox & automated libraries in the TIA portal using STL Programmable Logic Controls (PLC) algorithms

• Developed controller for anti-surge & hysteresis tuning of a sequential compressor, ensuing improved efficiency by 6%

• Structured feed-forward controls for the condensate pump and steam injection system impacting 90gpm processing

• Designed Human Machine Interface modules (HMI), dashboards, and alarms for motor torque monitoring and infeed pump systems reducing downtime by 1hr/day. Effectuated microcontrollers for implementing test design solutions

• Developed Manufacturing Execution Systems (MES) & PPAP to ensure quality and efficiency in integrating controllers

• Implemented field-oriented controller for variable frequency drive systems enhancing speed and torque management

• Facilitated neural network integration for automated identification of ammonia concentration (savings up to USD 50k)

• Modeled state machine controller for automating operating modes of the compressor, condenser, and centrifugal pumps

• Collaborated in developing Piping & Instrumentation diagram (P&ID) with control devices & hardware per ISA standard Senior Engineer - Powertrain General Motors Bengaluru, India / Michigan, US Aug 2013 – Dec 2018

• Continually improved methods & procedures for design modeling in UG-NX as per Bill of Materials, measurements, documentation & work-flow techniques from FMEA and DOE processes with a time saving of 20 hours/week

• Collaborated with cross-functional program management teams in diagnosing potential failures & packaging issues. The design iterations and concepts were optimized using DFM to obtain up to 8% improvement in first-time quality output

• Directed design and fabrication of prototype components for testing of engines and vehicles of varying chassis platform

• Centralized the Design Thinking and Design for Six Sigma approach for engineering design and CFD analysis of engines

• Facilitated digital clearance & tolerance stack-up analysis of engines with applied GD&T (Y14.5) using 3DCS & VisMockup

• Spearheaded Lubrication & Ventilation (HVAC) circuit extraction, Oil slosh analysis, Oil level calibration & Mass Roll- up of engines for analysis and improvement in cooling efficiency by 1.5% using FEA techniques

• Implemented ANSI/RIA15.06/OSHA compliant control reliable safety system & validated the electrical schematics

• Streamlined the control system and integration of vehicle dynamics for validating the test data algorithm for hybrid operating systems using MATLAB & Simulink along with regression analysis performed for the validation results

• Standardized test reports and trained over 200 engineers in x-SDE & HFV6 engine teardown and build mock-up sessions

• Develop & test efficient vehicle tests to achieve coverage of requirements & simulation for various driving scenarios

• Testing & validation of vehicle on dyno using CAN/LIN network and analyzing data using CANalyzer & Vector tools

• GD&T, Tolerance analysis

• MATLAB, Simulink

• C, C++, Python, R

• LabVIEW, GT-Power

• PLC, AmeSIM, PID controller

• ANSYS, VisualDOC, ModeFrontier

• TIA Portal, EPLAN, P&ID

• PROFINET, SCADA, RSLogix 5000

• Manufacturing Intern at Rail wheel and Axle factory (2013)

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• Six sigma certification – Black Belt • PLC programming Udemy PROJECTS

Optimization of oil pan for Small Block (SB) Gen-VI engine for casting failure issues GM Award – Work of Wonder

• High-performance Corvette oil pan to be re-designed to avoid casting failures at the supplier manufacturing facility

• Hydrostatic pressure & ultrasonic testing proved the elimination of failure in the oil pan even when the profile tolerance was lowered to 1mm for precision. Robust design validation using SPC & Cpk enabled quality improvement of 2.4% Autonomous Navigation on Road International Center for Automotive Research Clemson University

• Built an autonomously controlled RC car with Arduino & MATLAB to perform lane detection, tracking & navigation

• Implemented Machine Learning, tracking controls and lane detection using Stanley controller and Kalman filter. Tsai’s camera calibration method and image processing with inverse projection were implemented for optimum results Hybrid and Electric vehicle (HEV) unit test case vehicle controller validation GM - Cross-functional Integration

• HIL/SIL testing were performed for the initial build of control systems for HEV on multiple platforms of vehicle build

• Validation of unit-level test cases for Start/Stop condition using LabVIEW and MATLAB with Model-In-loop in run time environment (RTE) as per AUTOSAR standards, attesting 1.2% improvement in real-time simulation Develop & integrate perception algorithm using ADAS controls for self-driving vehicle framework Dorle Controls

• Modeled the driving scenarios for autonomous vehicles by developing HD occupancy grid maps using Baye’s rule

• Formulated simultaneous localization & mapping (SLAM) algorithm using Velodyne lidar point cloud, odometry, GPS

& IMU data in C++ & MATLAB. Implemented the algorithm & validated the test results using Veloview & Simulink

• The project resulted in successful testing of research papers certifying accuracy up to 97% during simulations Model mapping & motion control algorithm to develop robust autonomous vehicle for various driving scenarios

• Develop a novel SLAM & motion control algorithm using the non-linear optimization and 3-D reconstruction techniques

• Lidar point cloud processing, sensor registration & calibration methods were implemented using Python along with model-based design integration in Simulink. Efficient mapping and vehicle controls led to integration in 3D setup

• Ensured a seamless and robust implementation of the software architecture per SOTIF standards, V-cycle development process and testing the self-driving capability for various driving scenarios per ISO 26262 safety standards State machine controller for automating operating modes in the manufacturing setup Sedron Technologies, IN

• Led & structured automation for robust dynamic performance of the Varcor processing unit at Indiana plant

• Modeled and deployed process automation system using feed-forward & LQR control techniques for compressor

• Implementation of state machine led to automation of operating modes in compressor, condenser & centrifugal pumps impacting increased output by 7% to 90gpm, resulting in cost savings and expanding projects across 5 units in the US Testing brushless DC motor (BLDC) & permanent magnet synchronous motor (PMSM) for EV-Hybrid vehicles

• Trapezoidal controls algorithm was developed for BLDC motor with six-step commutation and multiple pole-pair combinations. PID controller was implemented with a pulse-width modulation generator for system stability

• Field-oriented controller (Vector) was used for the variable frequency drive (VFD) control of the AC synchronous motor

• Both tests conducted proved responsive & controlled outputs with an ability to generate full torque. The dynamic performance efficiency improvement during motor characterization was 1.4% against the peak torque of 110 Nm Develop an Arduino controlled robotic arm to perform pick-and-place material movement for industrial purpose

• SainSmart 6-axis robotic arm was used to develop and test the algorithm for material movement considering parameters in compliance with industry automation level 4 where the requirements were characterized for multiple scenarios

• Sensors like Xbox 360 Kinect camera, RGB, proximity sensors and accelerometers were integrated for robust operation

• High-level sensor fusion for servo control & computer vision integration helped to train the robot using Machine learning techniques and was used in the University laboratory for segregation and material selection resulting in cost saving CERTIFICATION

• Motion planning for self-driving cars Coursera INTERN

• Engineering Intern at Volvo and Bosch (2012)

CO-CURRICULAR

• Principal lead of SAE-BAJA and facilitated GM rally racing in Raid de Himalaya (world’s highest rally raid) car build

• Active member of SAE and IEEE. Organized various conferences, Auto exhibition shows, and product launch events

• Trained cross-functional teams with tech talks, engine teardown sessions and technical presentations for engineers

• Participated in various Design, Build and Race events, as the lead member, which helped me hone my leadership skills

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