Name: Visesh Rajendraprasad
Type: User
Company: @ansys
Bio: Full-stack engineer by day, but I work mostly with Python and question everything else. Self-hoster by night with a tiny Raspberry Pi datacenter.
Twitter: viseshrp
Location: Durham, NC
Blog: https://viseshprasad.com
Visesh Rajendraprasad's Projects
A simple Python Django application to connect blood donors with twitter users needing blood
Android app to fetch,organize and represent NYC health data
A simple polling and voting website
Search, retrieval and ranking of documents based on search terms in a query.
A small desk-calendar, portal-themend. It display the current date, the next few events in your calendar and whether a person in your contact list has a birthday
Tool to monitor Facebook groups and notify
Restaurants and reviews API
Supervised regression with backpropagation. Predict test scores based on sleep and study hours.
CLI tool to manipulate environment variables on Heroku with local .env files
configs used in my homelab
A more minimal version of hugo-ink with a neon green theme. Check viseshprasad.com
HelloWorld Servlet example with corresponding Dockerfile
An open-source coffee ordering app created as a result of Google's "Android development for beginners course" : https://www.udacity.com/course/viewer#!/c-ud837. This app is an improvement of the app demonstrated in the course.
Perform multiple linear regression on datasets using Apache Spark and Hadoop.
Simple CLI tool to listen for changes in NEST thermostat and reset the temperature back
Open source app to make notes in notifications
The MapReduce-Hadoop implementation of Google's PageRank algorithm
An ecommerce Android app for purchasing and donation of used clothes.
New portfolio made with React, Django and Docker and deployed on a raspberrypi at my home.
Search caniuse.com in your shell
An online discussion forum like Quora built using HTML5, CSS3, JSP, Servlets and JavaScript.
Web application for researchers to find participants - built using HTML5, CSS3, JSP, Servlets and JavaScript
Preprocessing Large Text Collection of News Articles - based on the MapReduce framework.
A Java application for summarizing Large Text Collection of News Articles Using K-Means Clustering and Topic Modelling - based on the MapReduce framework.