Howdy! I am

Raghavendra Rao

I'm a

About

About Me

"Somewhere, something incredible is waiting to be         known" - Carl Sagan


Raghavendra is a Mechanical Engineering major from Clemson University. His technology-savvy attitude does not limit his ability to be creative. He is passionate about storytelling which indeed will be music to your ears. Apart from being overly imaginative, he loves to read books, watch horror movies, backpack and get lost in the woods. He is an avid believer that we are all made of stardust tied to different names. Every day he pushes himself to learn something new, and unabatedly pursues his passion.

A result-driven engineer entrenched in design, analysis, testing, and validation of mechanical, automotive, and electrical installments with over 5 years of industry experience in implementing strategies and new product development. He is a diligent worker and can be relied upon to make a valuable contribution to the company in achieving the goals and providing a data-driven, action-oriented solution to challenging business problems.

When he isn't working, you'll find Raghav in the garage working on his car, exploring nature, or chilling on the beachside.

  • Name: Raghavendra Rao
  • Address: Clemson, South Carolina
  • Email: rrrao@g.clemson.edu
  • Phone: 864-633-7740

 Resume

Education

Jan 2019 - Dec 2020

Master of Science in Mechanical Engineering

(Specialization in Dynamic System Controls)                                                                      GPA:3.7/4.0
 Clemson University, SC, USA

Coursework:

Modern Controls, Advanced Controls, Mechatronics, Design Optimization, Systems Engineering,
Autonomous Vehicles, Hybrid-EV Powertrain Controls, Advanced Mathematics, Finite Element Analysis, Non-Linear Dynamics, Statistics
Aug 2009 - July 2013

Bachelor of Engineering in Mechanical Engineering

Bangalore University, India

Experience

June 2020 - Aug 2020

Automation & Controls Intern

Sedron Technologies, Greater Seattle, WA
Design controllers and automate the Varcor technology using PLC in TIA Portal. Implement the Piping and Instrumentation diagram for mechanical installations in the assembly plant. Develop controls algorithms for anti-surge, feed-forward steam injection and motor torque normalization. Create HMI dashboards for alerting and operator usage. Integrate state machine and system dynamics for testing and validation of variable frequency drives, boilers, compressors, and heat exchangers. Apply systems engineering to hardware systems using PROFINET and bus couplers. Use ISA and IEC standards for electro-mechanical components to build a robust mechatronic subsystem.
Aug 2013 - Dec 2018

Senior Engineer - Global Propulsion Systems

General Motors
Execute work order tasks with math and drawing creations using CAD software and implemented design for analysis and manufacturability. Continually improved methods and procedures for processes, measurements, documenting, and work-flow techniques. Worked on controls and calibration of hybrid and electric vehicles. Implementation of design tools and methodologies for precision components. Collaborated successfully with cross-functional developmental analysis to optimize and reduce design iterations for better results. Performed Technical data integration with statistical data generation in base and dress engine specifications. Design thinking approach implemented for each design and process. HIL/SIL testing performance tests for initial build and testing of control systems for HEV at multiple platforms. The simulation and results from LabVIEW and MATLAB validation for unit level test cases. Vehicle performance and control system represented as Modeling-loop verification with real-time simulations using GT Power.

Skills

MATLAB & Simulink

90%

CATIA, UG-NX, Solid Works

85%

GD&T and Tolerance Analysis

65%

C++, Python

90%

PLC - TIA Portal & RSLogix 5000

70%

LabVIEW, EPLAN, SCADA

80%

Areas of Interest

Take a look at some of the things I love working on.

Controls & Automation

Design controllers & automate the model deployment process for mechanical & electrical installations in the manufacturing environment.

Programming

Worked with researchers to apply algorithms for build implementation & conditional execution in developmental activities.

CAD Modeling

There are no limits to what one can promise in building the fun 3D and prototyping models with complex simulation.

Design Optimization

Mathematical optimization of the design formulations to create the optimal design models with transformation for Validation and testing.

Robotics

Develop, control & implement humanoid conepts into robots with intellectual and physical capability to perform tasks that humans couldn't dream.

Autonomous Vehicles

Build robust models for connected driverless cars to perform perception, motion planning, and motion controls autonomously per safety standards.

My Latest Projects

I have worked on multiple projects projecting the latest technologies and algorithms. Shown below are some of those projects.
For the source code please check out my page at

GitHub!

Design Optimization

Built a model for the optimization of the design parameters of a windmill turbine blade. The accrued results proved an optimized design with an efficiency improvement of 1.2 % of power output.

AUTONOMOUS DRIVING

Implemented machine learning, tracking controls and lane detection on an RC car for autonomous driving. The developed model proved efficient for image detection and self-driving.

Robotics

Developed an arduino controlled robotic arm to perform material movements for industry purpose. High level sensor fusion & ML was implemented for a robust task performance.




















UDACITY-SELF DRIVING

In this Nano-degree program from Udacity, I learnt and implemented the techniques of the cutting-edge robotics, automation & ML for transformational technology.

Mapping using sensors

Generated robut occupancy grid map for navigation and path planning using lidar, range sensors and camera. The algorithm has a confidence interval of 0.94 with the perception model.

Statistical data analysis

Successfully Extracted and labelled data for statistical analysis and dashboard creation. The data from PLC are used to develop HMI for the industrial automation & controls.

"Be the change that you want to see in the world - Lead from the front"