Experience

 
 
 
 
 

Engineer/Scientist II

Electric Power Research Institute

Sep 2019 – Present Charlotte, NC
  • Developing a lawn mover robot using ROS to cut the grass grown above solar panels and guiding undergrads from UNC Charlotte in product development.
  • Assisting Technical leaders in developing a tool for Transformer fault and life expectancy analysis.
  • Implementing Machine learning and deep learning techniques for DGA analysis using tensorflow and python.
  • Conducting a study relating the use of robots in substation and transmission line management system.
 
 
 
 
 

Teaching Assistant

University of North Carolina at Charlotte

Jan 2019 – May 2019 Charlotte, NC
  • Taught, Instruments and Networks lab to Sophomore students.
  • Course was designed to provide hands on experience with electrical & electronic devices circuit construction and debugging, and operation of laboratory instrumentation.
  • Gained knowledge of circuit boards, teaching experience, lab Instruments like Oscilloscope & principle involved in designing electronic circuits.
  • Taught all undergrads to design, build, debug, simulate electronic circuits and develop PCB boards.
 
 
 
 
 

Research Intern

Hitachi America Limited

May 2018 – Nov 2018 Farmington Hills, MI
  • Developed a vehicle speed prediction model for long and short duration using deep learning, machine learn-ing, probabilistic and stochastic models by acquiring real time traffic and map data from different companies.
  • Used LSTM model for time series data prediction and deep probabilistic programming using Bayesian NeuralNetworks and approximate Bayesian LSTM for determining its confidence interval.
  • Worked with different R&Ds and MDOT to develop a DSRC module for vehicle to vehicle and vehicle to infrastructure communication and to transmit messages over CAN bus.
  • Performed real time validation and testing on road to evaluate the performance of the speed prediction model and DSRC data communication with traffic lights.
  • Published a SAE technical paper along with other researchers on various artificial intelligence approaches to predict vehicle speed for realizing Predictive Powertrain Control.
 
 
 
 
 

Teaching Assistant

University of North Carolina at Charlotte

Aug 2017 – May 2018 Charlotte, NC
  • Taught, Instruments and Networks lab to Sophomore students.
  • Course was designed to provide hands on experience with electrical & electronic devices circuit construction and debugging, and operation of laboratory instrumentation.
  • Gained knowledge of circuit boards, teaching experience, lab Instruments like Oscilloscope & principle involved in designing electronic circuits.
  • Taught all undergrads to design, build, debug, simulate electronic circuits and develop PCB boards.
 
 
 
 
 

Associate Software Engineer

Accenture Services Pvt. Ltd.

Nov 2015 – Dec 2016 Bengaluru, IN
  • DevOps Engineer under Continuous Integration Team having Agile software development methodology.
  • Wrote build scripts and used Jenkins to automate the deployment process of applications to build servers.
  • Worked on setup and deployment of applications to cloud servers using Pivotal Cloud Foundry.
  • Worked closely with onshore and clients by providing support related to Continuous Integration team.
 
 
 
 
 

Project Intern

Hindustan Aeronautics Limited

Jun 2014 – Jul 2014 Bengaluru, IN
  • Designed Embedded Control of Fuel Flow of an Aero Engine by RVDT method.
  • ATMEGA16 microcontroller was used to design the Embedded control & was programmed in C.
  • Equivalent analog circuit was also designed using operational amplifiers.
  • Simulated the system using Multisim (analog circuit) / Proteus (digital circuit) and the PCB was designed.