Name: Abhishek Kumar
Type: User
Company: Institutional Research, TTU
Bio: Developer with 2 years of extensive experience in JAVA, Python, SQL and web technologies; worked for various clients in every phase of Software Development Life
Location: Lubbock, Texas
Abhishek Kumar's Projects
Developed a JAVA application which runs a list of activated rules, input test cases, maintained by an AgendaManager(Banking System). Implemented priority queue in a rule-based expert system shell using heap data structure.
Constructed an application for people to share camp ground details, experience and reviews. Implemented authentication authorization and refactored middleware to improve security. Built routes adhering to RESTful API and features of implementing CRUD operations.
A web application built on NodeJS and Redis server, hosted using Docker container, which counts the number of visits to a web-page.
React Application hosted on a nginx web server - Building a Production-Grade workflow that includes development, testing and deployment phases.
Using docker container to build a React application and setting up TravisCI to run our test suite. Using it to deploy our application on AWS Elastic Beanstalk.
General Front End Nanodegree Content Resources
Webpack Content in the Front End Developer Nanodegree program
Webpack & Sass in the Front End Developer Nanodegree program
Developed a two-stage file sharing system implementing client-server architecture. Built a purely distributed file-sharing system in stage 2 that allows file sharing without a central server using socket programming and multi-threading in JAVA.
Using a list of standard machine learning algorithms such as decision tree, random forest, logistic regression and XGBoost Classifier for our model building. Our stroke dataset is a scenario where the number of observations belonging to one class is significantly lower than those belonging to the other classes. This comes under the imbalance class distribution. To resolve this, we balanced our dataset and calculated results with and without data preprocessing. The best accuracy for our dataset was when we used a balanced dataset with feature selection.
Just a sample repo for learning the basics of GitHub
Building a multi-container (React, Express, Postgres, Redis) component application with a nginx routing server to run a Fibonacci Calculator. Setting up TravisCI to run our test suite. Using AWS Elastic Beanstalk Instance, AWS Elastic Cache and AWS Relational Database Service (RDS) to deploy our application.
Created a peer-to-peer file sharing system with a central indexing server using JAVA RMI to implement register, search and download features in stage 1.
Making real world projects with Docker by hosting a NodeJS application
GitHub project (Project 3) repository for PDSND
HTTPie + prompt_toolkit + Redfish capabilities = an interactive command-line HTTP Redfish client featuring autocomplete and syntax highlighting