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Nimish Unde

Software Engineer

San Jose, CA

nimish.2092@gmail.com

(669)245-7506

www.linkedin.com/in/nimishunde/

https://github.com/nimish2092


Skills

Algorithms and Data Structures

90%

Web Development

80%

Databases (MongoDB, MySQL)

70%

Android Development

50%

Languages

Java

Javascript / NodeJS

C and C++



Work Experience

NodeJS Developer at Funnode LLC
Aug 2017 - Present

  • Optimized and refactored backend code of Funnode web application, which enables users to play online games
  • Improved latency and performance of a messaging module with the help of socket.io
  • Worked on RabbitMQ for queueing and message passing between various backend modules
  • Containerized the application code using docker for environmental consistency and easy deployment
  • Added javascript testing framework Mocha for automation of testing


Technical Associate at Mphasis Ltd.
Jan 2015 - Jun 2015

  • Optimized remote software patch updates to client VDI machines and carried out VPN setup assistance
  • Investigated incidents and piloted troubleshooting procedures for VDI and VMware machines used by clients, performed incident management tasks for the client Charles Schwab


Education

Master of Science, Software Engineering, San Jose State University
Aug 2015 - May 2017

Bachelor of Engineering, Information Technology, University of Pune
May 2010 - May 2014

Projects

Web Application - Stocks Analyst
Nov 2016

  • 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
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
Apr 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 and availability by using load balancer and deploying multiple servers


Cross Domain Online Marketplace
Dec 2015

  • Consolidated several individual e-commerce websites and modeled a cross domain market place, products from several shopping websites were made available to buy on the Marketplace
  • Offered functionalities to track users, reproduce user’s history using cookies, detect top products depending on various parameters like reviews, ratings, views etc.


Android Application - Tourist Guide
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


Publications

IEEE Research Paper
Nov 2014

  • Received commendations from the session chair of an IEEE conference, International Conference for Convergence of Technology 2014 for publishing and presenting a research paper “A Data Mining Based Approach Towards Detection of Low Rate DoS Attack”