Information Technology Software Engineer

Nimish Unde

***N, *th Street www.linkedin.com/in/nimishunde/ 669-***-****

San Jose, CA 95112 https://github.com/nimish2092 ******.****@*****.*** Summary:

A Software Engineer, with experience in development of highly scalable enterprise and web applications. Skilled full stack and web developer, motivated to code solutions to real world problems that would affect millions of lives. Education:

M.S., Software Engineering May 2017

San Jose State University, San Jose, CA

Bachelor in Engineering, Information Technology May 2014 University of Pune, India

Skills:

Programming: Java, Javascript, C, Android development, SQL, Php, Algorithms, Data structures Web Technologies: Node js, Express js, jQuery, Bootstrap, HTML5, CSS3, JSON, XML, AJAX, REST API, Highcharts Deployment Platforms: AWS, Heroku

Databases: MySQL, Mongo DB, Firebase

Version Control: Git, Github

Others: Networking, Network programming, Linux, Software Development Lifecycle, Design Patterns, Agile Development, Wireshark, Puppet, Android Studio, mLab

Work Experience:

Technical Associate, Mphasis Ltd., Pune, India Jan 2015 – June 2015 Projects:

Web Application ( Stock Analyst ) Nov 2016

Technologies: Node js, Express js, Cherio js, jQuery, HTML, CSS3, Bootstrap, Highcharts, Heroku

Built a web application from scratch which fetched real time stock index values and leverages on Highcharts for interactive visualization of stock prices

Developed a web crawler which syndicated global stock index values of about 30 countries and visualized on chloropleth world map

Reduced the response time of the application by about 50% using G-zip compression

Implemented features like Responsive UI, SEO, Localization etc. Low Rate DDoS Attack Detection, Technologies: Java, Data mining, Networking, TCP - IP stack Oct 2013 – Mar 2014

Engineered a software based approach in Core Java to detect LDDoS attack that can be implemented in a resilient routing infrastructure

Utilized data mining algorithms like Apriori and Naïve Bayesian to classify attack traffic from the normal traffic and identify attacking IP address

Achieved an accuracy of 97.79%

Media Streaming Application, Technologies: C, MySQL, AWS April 2016

Developed a client server application to stream audio and video files from server to client, leveraged on the concepts of multi threading to provide concurrency for multiple clients

Increased the resiliency by 30% using load balancer and doubled the availability by deploying multiple servers Android Application ( Tourist Guide ), Technologies: Java, RESTful APIs, JSON, XML, Firebase Aug 2016

Harnessed various REST API such as Google geolocation API, Forecast weather API and Yelp API to detect the current location of the tourist and show him/her nearest tourist attractions with ratings, reviews, photos and weather conditions

Equipped the application with on demand navigation and integration of Uber API to book a ride; used Firebase for data persistence

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