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$12 USD / hour
Flag of CANADA
london, canada
$12 USD / hour
It's currently 12:21 AM here
Joined November 17, 2018
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Yokhesh K.

@yokhesh

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$12 USD / hour
Flag of CANADA
london, canada
$12 USD / hour
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Machine learning programmer

I am a machine learning freelancer with a vast amount of experience in the field through my research and projects. I have completed my Masters in ECE with a concentration in Intelligent systems at Clemson University, USA. The following are some of my previous experiences in the machine learning field: 1. Acquired experience in pattern recognition, SVM, deep neural networks through my project in terrain perception, fault detection. 2. Built Convolution neural network for cracked and uncracked glass image classification 3. Have published a research paper relating to the fault diagnosis using machine learning techniques and have also presented it in JSST 2017 conference. 4. Have experience working with advanced programming (C, C++) during my computing internship at AO Smith, USA. I have explained the projects and my employment details further in my profile.

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Experience

Programming and Computing Intern

AO Smith, USA
Jan 2018 - May 2018 (4 months, 1 day)
1. Worked on developing the C++ based computing test fixtures for the commercial water products using Kinetic Design Studio and Arduino programming 2. Performed testing of various sensors (temperature, pressure and moisture sensor) and communication protocols like I2C and UART through a single version of the code. 3. Ported more than 12 different code functions from the microchip software used in an older version to KDS which is compatible for the newer control board

Machine Learning Engineer

Clemson University, USA
Oct 2017 - Jan 2018 (3 months, 1 day)
1. Designed a machine learning algorithm to detect the emotions of over 1500 patients to enhance the treatment based on their needs 2. Scraping the data from over 3000 web posts across more than 100 different threads provided in “National Association for Continence” . 3. Analyzing the data using SAS Text Miner and Random forest algorithm. Programmed and designed a text analysis algorithm in MATLAB and Python to provide additional information regarding the patients

Machine learning based Robotics intern

Singapore University of Technology and Design, Singapore
Apr 2017 - Oct 2017 (6 months, 1 day)
1. Implemented an automated fault diagnosis mechanism in a bio-inspired re-configurable robot using SVM and neural networks at SUTD in collaboration with Massachusetts Institute of Technology (MIT) 2. Achieved a classification accuracy of above 90% using the SVM classifiers and 91% using neural network classifiers 3. Tested the SVM and neural networks algorithm on the robot in real-time which indicated that the fault being identified within 20 seconds from the commencement of robot operation

Education

Master of Science (M.S.)

Clemson University, United States 2016 - 2018
(2 years)

Bachelor of Engineering (B.Eng.)

Anna University, India 2012 - 2016
(4 years)

Qualifications

Machine learning by Stanford University

Coursera Certificate
2017
Learned about various machine learning techniques, anomaly detection, recommender system using MATLAB. License no: DH3J5BGRLYNL Certificate URL: https://www.coursera.org/account/accomplishments/certificate/DH3J5BGRLYNL

Improving Deep Neural Networks

Coursera certificate
2018
Learned about Hyperparameter tuning, Regularization, and Optimization License no: FCG9SHJ6VEFN Certificate URL: https://www.coursera.org/account/accomplishments/verify/FCG9SHJ6VEFN

Neural network and deep learning

Coursera certificate
2018
Learned about deep learning techniques using python License no: X5SNMRTFMCXL Certificate URL: https://www.coursera.org/account/accomplishments/verify/X5SNMRTFMCXL

Publications

Self-Reconfigurable Cleaning Robot Equipped with Deep Learning-Based Crack Detection from CNN

Automation in Construction
In review

Towards Fault Diagnosis in a Shape-Shifting Robot

JSST 2017 Conference
URL: http://jsst.jp/e/JSST2017/wp-content/uploads/2017/03/JSST2017_Proceedings_modified_2.pdf

Fault Diagnosis of a Reconfigurable Crawling–Rolling Robot Based on Support Vector Machines

Applied Sciences Mdpi

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