Java Developer Resume Profile

Summary

More than 5 years of programming and application including web development experience using Object Oriented programming.
Extensive experience with J2EE technologies using Servlets, JSP, JDBC, XML and Web services including open source systems by Apache.
Great exposure to Oracle and MySQL DBMS including functions, triggers
Excellent experience in version control systems including installing, configuring and working with subversion and mercurial.
Client side scripting language including HTML, AJAX, JAVASCRIT, JQUERY
Good experience with Tomcat Server.
MVC understanding and coding web technologies using PHP or JAVA.
Good experience in Neural Networks, Logistic Regression, Statistical Analysis, Prediction and Data Modeling.
Knowledge of CISCO and Microsoft products.
Administered networks and databases.
Analyzing and resolving systems and network problems.
Tools used: NetBeans, Eclipse, XCode, WinSCP, Putty, Toad, Flash Builder, JasperReports, and more.

HIGHLIGHTS

Computer skills

COURSE PROJECTS

O N sorting
Socket Programming and file/data transfer between client and server, and client and client
UDP/TCP protocols programming
Web Application Development using PHP and MySQL
Encryption and Decryption programming
Circuit designing using simulation tools such as Logisim
System performance analysis
Enforcing security measures in Oracle
Feature extraction and classification on Biometrics data such as finger print
Threshold based fall detection on the Android Platform
Frequency analysis and decrypting simple encrypted cipher texts
Predicting of heart disease using data mining techniques VIDEO
Voice recognition and application startup on Windows platform. VIDEO

Experience

Java Developer

Confidential

Responsible as a Java developer, to code back and front end. Including debugging, coding, fixing reports and MySQL functions, as well as the Flash front end.
Worked on countless number of system issues, issues including IOS, Flash, JSP, and jasper reports.
Responsible to debug server code, maintain server status, fix bugs, add code, update code, change code functionality according to customer needs, maintain flash front end, fix iOS issues, fix, update or add new jasper reports, add new web services for future technologies such as HTML5 and javascripts. Integrate open source systems to maximize usability and improve on the overall usage such as integrating PDF readers to render PDFS on jasper reports.
Maintained clean, well-documented, efficient code.
TOOLS: NetBeans, XCode, WinSCP, Putty, Flash Builder, JasperReports, TortoiseHg, SVN.

Research Assistant

Confidential

For spring 2014, I worked with a student to investigate MCODE clustering algorithm on a protein-protein interaction network where proteins are represented as nodes and the interactions between the proteins is represented by edges between the nodes. MCODE finds highly interconnected nodes in order to find clusters within the graph or network. We used Cytoscape for this, after running the experiment, a java application reads the files and calculate the mean and median to determine the best experiment options of the MCODE algorithm.
TOOLS: Eclipse, Cytoscape

Research Assistant

Confidential

Risk Analysis for Acute Coronary Syndromes in Chest Pain Patients. Working on creating model to efficiently assist physicians in predicting ACS
esearched different methods for machine learning and classifications. Specifically and primarily I researched the factors for Acute Coronary Syndrome ACS and how to apply supervised machine learning algorithm to create a model to be used by physicians to predict chances of developing ACS in the first 30 days of treatment with new patients. The challenge was to learn the model parameters that are used for the prediction, and how to prove that a method or an approach shows a good or accepted accuracy. Some algorithms when given new datasets a testing mechanism to prove the accuracy of the algorithm showed a less accuracy compared to the training dataset used. In this research I used logistic regression and neural network using Weka java libraries. The prediction application interface can be written in any language and can be a web based but I wrote it in Java using NetBeans IDE. A video of the interface can be found on the LinkedIn page.
participated in a project along with other members to extract image, text, data features, index the feature, use open source systems to retrieve the data, either by supplying an image or text and getting related data to the query. Several feature algorithms were used in this research including SIFT, Histograms, etc.
TOOLS/Libraries: Eclipse, Weka Libraries, Git, Lire, Lucene