Anoop Krishnan
E-mail: **************@*****.***
Mobile: 408-***-**** LinkedIn: /in/anpkrishnan
OBJECTIVE To acquire the position of Software Development Engineer in the field of Software engineering.
EDUCATION
MS in Software Engineering Major: Enterprise Software Technologies GPA: 3.67/4.0
San Jose State University, San Jose, CA expected December 2013
Relevant Coursework Data and Web Mining, Enterprise Distributed Objects, Enterprise Software Components,
Virtualization
SKILLS & CERTIFICATIONS
Technology REST, Salesforce, J2EE (EJB, JSP, Servlets, JMS), Node.js, JPA, JDBC, Hadoop,
MapReduce, R, Spring MVC, JAXB, Mahout, Ruby on Rails, Beautiful Soap
Programming/Scripting Java, PHP, JavaScript, Python, JQuery, Ajax, HTML5
Database/Web Servers MongoDB, MySQL, Hbase, Tomcat, JBOSS
Cloud Platforms/OS Salesforce, Amazon-ec2, AppFog, Linux
Certificates Salesforce 401 developer, OCJP, OCWCD
RELEVANT EXPERIENCE 4 years
Software Development Intern Symantec June 2013 – Present
Developing performance reporting framework using Node.js and Express. Implemented MapReduce tasks
for grouping within massive datasets in MongoDB. Performed data set Sharding and Replication on 6
instances. Implemented end point scripts for data migration from Legacy systems to VMware ESXi server
using Java & Python.
Senior Software Engineer Accenture October 2010 – July 2011
Developed RESTful application using Java & Salesforce, and integrated both modules. Handled integration
using multiple end point scripts between client and server. Application development for J2EE module done
using Spring.
Delivery Software Engineer Mphasis April 2010 – October 2010
Developed and integrated content management module (Java application) with Salesforce using web
services. Responsible for data migration from EBS systems into Salesforce.
Developed data analytic tool for client monitoring using PHP & jQuery.
Programmer Analyst Cognizant Dec 2007 – April 2010
Developed SaaS application in Salesforce. D eveloped Apex classes, triggers and business approval
processes and deployed the same into production using ANT .
MASTERS PROJECTS
Job Salary Prediction San Jose State University Jun 2013 – Present
Developing prediction engine to estimate salaries based on multiple dimensions. Dimensions include job
description parameters, economic indexes of job location and sentiment analysis of the company reviews.
Prediction engine to be developed using Python (Django), Hadoop, MongoDB, Hive and R. Dataset was
collected using Web Scrapping (Beautiful Soap).
Recommendation for News Articles San Jose State University Jan 2013 – May 2013
Developed recommendation engine & custom clustering framework for news articles extracted from CNN
using Apache Mahout & Hadoop. Deployed the same on Amazon-ec2 platform.
Project Free Door San Jose State University Aug 2012 – Dec 2012
Developed distributed application for a community similar to “Craigslist” using REST (Jersey).
Implemented failover mechanism on multiple data nodes using Hadoop, MongoDB and Ruby on Rails.