shethkushal/Resume

## Resume
KUSHAL SHETH
2525 Welsh Rd Apt T1, Philadelphia, PA – 19114 • +1 (812) 558-6853
kushalsheth93@gmail.com  • www.linkedin.com/in/shethkushal • www.github.com/shethkushal

EDUCATION
Indiana University Bloomington, Bloomington, IN
Master of Science (M.S.) in Computer Science (3.7/4.0), Aug15 – May17

Charotar University of Science and Technology (CHARUSAT), Changa, India
Bachelor of Technology (B.Tech.) in Computer Engineering (8.3/10.0), Jun11 – May15

TECHNICAL SKILLS
•	Programming: Java, Python, C, Ruby, HTML, CSS, JavaScript, React, AngularJS, Bootstrap, PHP, MySQL
•	Technologies: RESTful API’s, Spring MVC, Hibernate, Maven, Jersey, Docker, Swagger, Rake, Protractor
•	Tools: AWS, Travis-CI, Jenkins, Git, Jira, SVN, Eclipse

WORK EXPERIENCE
Bridge21 Inc., Philadelphia, PA
Software Engineer, Sept17 – Present
•	Working on developing a global platform for money transfer across the border providing seamless customer experience.
•	Implemented multiple automation scripts that runs as a background job to execute day-to-day tasks without manual input.
•	Actively participating in customer support and working with the customers to understand the difficulties in utilizing the service and making appropriate enhancements for easy access.
•	Managing critical and complex investigations to accomplish high-impact goals and supporting multiple roles with diverse backgrounds.

DSW Inc., Columbus, OH
Software Engineer Intern, Jun17 – Sept17
•	Worked with a group of talented software engineers to develop a testing framework using Protractor.
•	This framework for End2End testing reduced the error rate by 60%.
•	Focused on the enhancement of DSW website by implementing the custom features and removing the libraries that accounted for extra time and memory. This reduced the lag time and resulted into faster and user friendly website.
•	Actively participated in code reviews to understand the best practices and guidelines for product development.
•	Performed detailed root cause analysis and impact assessment to solve highly sensitive problems.

Indiana University Bloomington (School of Informatics and Computing), Bloomington, IN
Associate Instructor (Course: Applied Machine Learning), Aug16 – Dec16
Associate Instructor (Course: Discrete Structures for Computer Science), Aug15 – Dec15
•	Tutored groups of graduate and undergraduate students. Developed course outlines and used them as tutoring aids.
•	Designed the homework assignments that helped students' learn the course and understand the concepts of machine learning in depth. Engaged students through activities designed for maximum interaction in teams
•	Learned to create a trusting atmosphere through sensitivity to students' strengths, weaknesses, and personal learning abilities.
•	Worked with professor to design the midterm and final exams

VisTracks Inc., Lisle, IL
Software Developer Intern, Jun16 – Aug16
•	Worked as an integral part of software development team and assisted with requirement analysis and project estimations.
•	Coordinated with the offshore team to integrate the new redesigned web portal for the customers within 30 days.
•	Engaged myself in full stack development of the platform which included rebuilding of APIs', managing database and helping team to integrate platform with AWS.

E-Infochips Training and Research Academy (eiTRA), Ahmedabad, India
Research Intern, Jan15 – May15
•	Worked along with the data scientist and engineers to design a literature review of possible approaches and presented it to the committee. Performed multiple paper reviews to understand the basic principle of dimension reduction algorithms.
•	Implemented FAST Feature Selection algorithm that resulted in best results by reducing the dimensionality of the data by 47%.

ACADEMIC PROJECTS
Weather Prediction System, Bloomington, IN
•	Worked in a team environment to develop a web application for weather forecasting using REST architecture
•	Configured Travis-CI for performing Continuous Integration (CI) and Continuous Deployment (CD) with help of GitHub
•	Made all the services fault tolerant and decreased their downtime by 80% using AWS Code-Deploy and RabbitMQ
•	Technologies used: Java, Jersey, Maven, AWS, Docker, RabbitMQ, Travis-CI, GitHub

Classifiers and Taggers, Bloomington, IN
•	Implemented Topic classifier and Spam classifier using Decision Tree and Naive Bayes algorithm with accuracy of 95% for both the techniques implemented
•	Developed Part-of-Speech tagger for English language using machine learning techniques like Naïve Bayes algorithm and Viterbi algorithm which gave the accuracy of 90% for correct words
•	Technologies used: Python, artificial intelligence, machine learning algorithms

U.S. Presidential Election Predictor, Bloomington, IN
•	Developed a prediction system, which can anticipate the outcome of election, with performance accuracy of 90%
•	Used machine learning algorithms to gauge the popularity of each nominee and find the aspect that can help them win
•	Technologies used: Python, machine learning algorithms

PUBLICATION
•	Shilu S, Sheth K, Mehul E. Implementation of FAST Clustering-based Feature Subset Selection Algorithm for High-Dimensional Data. Proceedings of International Conference on ICT for Sustainable Development, Advances in Intelligent Systems and Computing 409, 2016 Feb, pp 203-213
	KUSHAL SHETH
	2525 Welsh Rd Apt T1, Philadelphia, PA – 19114 • +1 (812) 558-6853
	kushalsheth93@gmail.com • www.linkedin.com/in/shethkushal • www.github.com/shethkushal

	EDUCATION
	Indiana University Bloomington, Bloomington, IN
	Master of Science (M.S.) in Computer Science (3.7/4.0), Aug15 – May17

	Charotar University of Science and Technology (CHARUSAT), Changa, India
	Bachelor of Technology (B.Tech.) in Computer Engineering (8.3/10.0), Jun11 – May15

	TECHNICAL SKILLS
	• Programming: Java, Python, C, Ruby, HTML, CSS, JavaScript, React, AngularJS, Bootstrap, PHP, MySQL
	• Technologies: RESTful API’s, Spring MVC, Hibernate, Maven, Jersey, Docker, Swagger, Rake, Protractor
	• Tools: AWS, Travis-CI, Jenkins, Git, Jira, SVN, Eclipse

	WORK EXPERIENCE
	Bridge21 Inc., Philadelphia, PA
	Software Engineer, Sept17 – Present
	• Working on developing a global platform for money transfer across the border providing seamless customer experience.
	• Implemented multiple automation scripts that runs as a background job to execute day-to-day tasks without manual input.
	• Actively participating in customer support and working with the customers to understand the difficulties in utilizing the service and making appropriate enhancements for easy access.
	• Managing critical and complex investigations to accomplish high-impact goals and supporting multiple roles with diverse backgrounds.

	DSW Inc., Columbus, OH
	Software Engineer Intern, Jun17 – Sept17
	• Worked with a group of talented software engineers to develop a testing framework using Protractor.
	• This framework for End2End testing reduced the error rate by 60%.
	• Focused on the enhancement of DSW website by implementing the custom features and removing the libraries that accounted for extra time and memory. This reduced the lag time and resulted into faster and user friendly website.
	• Actively participated in code reviews to understand the best practices and guidelines for product development.
	• Performed detailed root cause analysis and impact assessment to solve highly sensitive problems.

	Indiana University Bloomington (School of Informatics and Computing), Bloomington, IN
	Associate Instructor (Course: Applied Machine Learning), Aug16 – Dec16
	Associate Instructor (Course: Discrete Structures for Computer Science), Aug15 – Dec15
	• Tutored groups of graduate and undergraduate students. Developed course outlines and used them as tutoring aids.
	• Designed the homework assignments that helped students' learn the course and understand the concepts of machine learning in depth. Engaged students through activities designed for maximum interaction in teams
	• Learned to create a trusting atmosphere through sensitivity to students' strengths, weaknesses, and personal learning abilities.
	• Worked with professor to design the midterm and final exams

	VisTracks Inc., Lisle, IL
	Software Developer Intern, Jun16 – Aug16
	• Worked as an integral part of software development team and assisted with requirement analysis and project estimations.
	• Coordinated with the offshore team to integrate the new redesigned web portal for the customers within 30 days.
	• Engaged myself in full stack development of the platform which included rebuilding of APIs', managing database and helping team to integrate platform with AWS.

	E-Infochips Training and Research Academy (eiTRA), Ahmedabad, India
	Research Intern, Jan15 – May15
	• Worked along with the data scientist and engineers to design a literature review of possible approaches and presented it to the committee. Performed multiple paper reviews to understand the basic principle of dimension reduction algorithms.
	• Implemented FAST Feature Selection algorithm that resulted in best results by reducing the dimensionality of the data by 47%.

	ACADEMIC PROJECTS
	Weather Prediction System, Bloomington, IN
	• Worked in a team environment to develop a web application for weather forecasting using REST architecture
	• Configured Travis-CI for performing Continuous Integration (CI) and Continuous Deployment (CD) with help of GitHub
	• Made all the services fault tolerant and decreased their downtime by 80% using AWS Code-Deploy and RabbitMQ
	• Technologies used: Java, Jersey, Maven, AWS, Docker, RabbitMQ, Travis-CI, GitHub

	Classifiers and Taggers, Bloomington, IN
	• Implemented Topic classifier and Spam classifier using Decision Tree and Naive Bayes algorithm with accuracy of 95% for both the techniques implemented
	• Developed Part-of-Speech tagger for English language using machine learning techniques like Naïve Bayes algorithm and Viterbi algorithm which gave the accuracy of 90% for correct words
	• Technologies used: Python, artificial intelligence, machine learning algorithms

	U.S. Presidential Election Predictor, Bloomington, IN
	• Developed a prediction system, which can anticipate the outcome of election, with performance accuracy of 90%
	• Used machine learning algorithms to gauge the popularity of each nominee and find the aspect that can help them win
	• Technologies used: Python, machine learning algorithms

	PUBLICATION
	• Shilu S, Sheth K, Mehul E. Implementation of FAST Clustering-based Feature Subset Selection Algorithm for High-Dimensional Data. Proceedings of International Conference on ICT for Sustainable Development, Advances in Intelligent Systems and Computing 409, 2016 Feb, pp 203-213