Software Engineer Project

Nitish Kelagote

https://www.linkedin.com/in/nitish-kelagote

**** ****** ******, ***. **** +1-832-***-****

Houston, Texas, 77058 ******.********@*****.***

Professional Summary

Research experience in the field of Machine Learning and sensor devices. Professional experience in the field of embedded system design, Firmware Development and Telecommunication. Certification from Centre for Development of Advance Computing in the course of embedded system domain.

Education

Master of Science in Computer Engineering December 2017 Thesis: HUMAN MOTION MODELING AND EVALUATION USING WEARABLE SENSOR DEVICES Advisor: Dr. Jiang lu, Dr. Kewei Sha, Dr. Ishaq Unwala University of Houston Clear-Lake GPA: 3.88

Bachelor of Engineering June 2011

Visvesvaraya Technological University, India GPA: 8.12 Technical Skills

Programming Language : Python, C, Data Structure, C++, and Assembly Language. Operating System : Windows, Linux (Open Suse), Kernel Space Programming, Multi-Threading, Linux Device Driver, Inter Process Communication

IDE Tools : Anaconda, Code Composer, Keil, Visual Studio, Matlab, Calmshine 16plusSmartCard, WML Tool Chain : GCC, G++, GDB Debugger

Hardware : Raspberry Pi, LPC2148 (ARM7-TDMI core), TongFang(ARM A8 core), Arduino, 8051 Microcontroller Version Control : GitHub, IBM Clear Case, IBM Clear Quest (Defect Tracking). Protocols : USB, UART, SPI, I2C, T=0(Contact Based Smart Card), T=1(Contactless Card). Specification : ISO 7816(1, 2, 3), GSM 11.11/14, ETSI 102.221/3, LPC2148 (Microcontroller). Academic Research and Project

Thesis: “HUMAN MOTION MODELING AND EVALUATION USING WEARABLE SENSOR DEVICES” JAN 2017 – DEC 2017 Evaluate the accuracy percentage of the gesture movement obtained from the sensor devices mounted on the body by comparing the real movement model to the accurate model proposed by the specialist.

Dynamic Time Warping technique proposed to find accuracy percentage of two N dimensional time series data with out of phase.

Implementation of Sensor fusion technique for accelerometer, gyroscope and magnetometer.

Evaluate the performance obtained from the sensor devices mounted on the 8 different subjects performing 8 different physical activities.

Project: “Image processing to obtained Higher Resolution image” AUG 2015 – DEC 2015

Implementation of Deep Convolution Neural Network to improve the low resolution of image.

Attempts to recover at each pixel its best possible resolution increase based on the patch redundancy method.

Our approach is based on the observation that patches in a natural image tend to redundantly recur many times inside the image, both within the same scale, as well as across different scale. Project: “Absolute Orientation of 3 Dimensional Sensor Device” JAN 2016 – MAY 2016

Wrote a Hardware abstraction layer for the Arduino board and receives the Sensor data through I2C communication.

An application program to help you visualize the sensor data in which it will publish the data over the UART from the Arduino device

The Processing Sketch reads in and rotate the 3D model based on the incoming orientation of the Sensor data. Project: “USB based Character Device Driver and writing a Linux Kernel Module” AUG 2015 – DEC 2015

Built a firmware for Blueboard LPC2148 for USB emulation

Wrote a custom USB device driver for Linux operating system

Implementing a User Application program to communicate with the custom USB device driver and displaying the Real time results obtained from the LPC2148 device.

Project: “Universal Windows Platform to Communicate with Sensor Device” AUG 2016 – DEC 2016

A Raspberry Pi device is running on the windows iot core operating system.

An UWP application program been deployed to the Raspberry pi device to communicate to the sensor devices with the help of Bluetooth Low Energy (LE) device using the Bluetooth GATT protocol which acts as a GATT client to access nearby GATT servers.

This UWP application just reads the data from the sensordevice, and then creates a JSON message, which will be sent to the IoT Hub.

Project: “Visual Digital Display using Microcontroller and Led’s” JAN 2011 – JULY 2011

A PCB layout containing single strip of LEDs, a microcontroller and RF receiver which are placed on a free Running motor.

Display 2 Dimensional images and words in which the LEDs are synchronized (on and off), keeping in mind the concept of the persistence of vision (POV) and limit of resolution in context to human eyes. Work Experience

Software Engineer: GIESECKE AND DEVRIENT March 2012 – JULY 2014 WIB Application (module: SMS handler)

Development of single and concatenated message handler to process SMS for all applications inside SIM.

Understanding payload structures for protocol and Design of structures for analyzing incoming frames.

Involvement in all the phases of product lifecycle management and certification of the product from standard body (WIB). Performance and Evaluation of Smart Card Chip

Writing Firmware and Test operating system for the specific Smart card microcontroller chip(both Contact and contactless base Smart card)

To provide the performance of Smartcard chip like time taken by the processor to execute CRC, Flash Write, Flash read and time taken to execute the GSM commands

Unit testing to determine the performance of the Smart card microcontroller chip. Developing SIM Toolkit for different Network Provider

Requirement and feasibility analysis and preparation of software design document

Configuration of the different application as per customer requirements. Code optimization and restructuring of existing applications.

Analysis and resolution of field issues with the help of trace tools Graduate Teaching Assistant: University of Houston Clear Lake JAN 2016 – MAY 2017

Took charge of lab sessions, recitation and grading for the course “Introduction to Telecommunication and Networks”.

Responsible for assigning the modules of the CPU architecture for design and writing test bench. Conference Publication

Nitish Kelagote “Human Motion Modeling and Evaluation Using Wearable Sensors”, in Proceedings of the Dual Conference 2016 in Innovation and Automation, October 2016, Houston, USA.

Sanobar Kadiwal, Jiang Lu, Kewei Sha, Lin Sun and Nitish Kelagote, “Microsoft Kinect Based Real-time Segmentation and Recognition for Human Activity Learning”, in Proceedings of the Dual Conference 2016 in Innovation and Automation, October 2016, Houston, USA.

Certification

Certification in VLSI and Embedded System Design from Centre for Development of Advanced Computing (C-DAC) – ACTS

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