Venkateshwaran Palanikumar

Open-minded, flexible, self-starting team player with passion to develop web applications in a fast-paced environment. Relentless problem solver, who enjoys implementing algorithms using different approaches. Looking to collaborate and be a key contributor in building quality software by helping solve challenging problems.

Technical Skills


  • Languages
    - Java, Python, JavaScript (ES6), C/C++
    - J2EE (Servlet, JSP, JDBC, REST)
  • Web Technologies
    - HTML5, CSS3, ReactJS, NodeJS
    - jQuery, DOM, JSON, AJAX
  • Frameworks
    - Spring MVC, Hibernate
    - Spring Boot, Bootstrap, Express
  • Database
    - MySQL, Oracle DB,
    - Mongo DB, Cloud Firestore
  • Tools
    - Docker, GitHub
    - Apache Tomcat, MATLAB
    - Visual Studio Code, NetBeans, Eclipse
  • Cloud Platforms
    - Amazon Web Services (AWS)
    - Microsoft Azure

Projects


Shopping Web Application
August 2020

  • Implemented a responsive, Single Page Application using React JS and deployed it using firebase hosting service
  • Developed critical components of e-commerce website, including shopping cart, quick view, and checkout page, using React components and React Context API

Group Text Messaging Application
July 2020

  • Created a real-time interactive multi-user chatting application using React JS
  • Utilized Material-UI combined with Flexbox Layout module for designing the front-end and cloud firestore as database for saving all messages in the thread indefinitely

Learning Management System
May 2020

  • Developed a Java Spring MVC web-app (JSP, Hibernate, MySQL) which allows teachers to administer, document and organize the courses they teach
  • Enabled students to register, manage, track progress and keep updated on announcements of all their courses
  • Integrated the application with HQL, Spring MVC form tags, Mapping Collections, and Hibernate Validator

Daycare Model
November 2019

  • Led a small team in building a Java desktop application for managing and maintaining records for a daycare facility
  • Modeled based on MVC Architecture, Abstract Factory Design patterns and SOLID design principles using Java Swing library
  • Designed a dashboard for data aggregation and visualization of client data

Algorithm to Accelerate Optimization in Convolutional Neural Network
April 2019

  • Developed an optimizer algorithm for training Neural Networks, in Python, to improve performance of optimization
  • Accelerated Optimization in Convolutional Neural Network by employing, our algorithm with decaying error-based learning rate and obtained optimum result with acceptable high accuracy in less time, balancing the trade-off between them

Education

Northeastern University, Boston, MA

Master of Science
Computer Systems Engineering

Graduation: Expected December 2021
GPA: 3.68/4
Courses: Devops, Enterprise Software Design,
Web Design and User Experience Engineering,
Concepts of Object-Oriented Design,
User Experience Design and Testing,
Data Management and Database Design

Contact Me

If you would like to get in touch please reach out below:

Email

GitHub

Phone: +1 (857) 800-4664

Address: Dallas, Texas