shireeshj

Trying to build a team where everyone learns something new everyday. In the process, build some products that millions of people want to use

@elitmus Bangalore

Pinned Repositories

ariadne
Language:Ruby0 2 04
omniauth-elitmus
eLitmus OAuth2 Strategy for OmniAuth
Language:Ruby0 2 15
cookbook-gitlab
Gitlab cookbook
Language:Ruby1 2 00
css-social-buttons
Zocial button set with CSS. Entirely vector-based social buttons.
1 3 00
gitlabhq_install
Installation scripts
Language:Shell2 4 00
rails
Ruby on Rails
Language:Ruby0 2 00
ResumeParser
Resume Parser using rule and machine-learning based approach. Developed using framework provided by GATE
Language:HTML1 3 00
sim_card.gem
Ruy Gem to Access and control SIM card functionality via AT commands
Language:Ruby12
twitter-stream
Twitter realtime API client
Language:Ruby1 3 00

shireeshj's Repositories

shireeshj/AllTheFreeStock
AllTheFreeStock.com is a curated list of free stock images, graphics and videos.
Language:JavaScript3 0
shireeshj/app_perf
Open source application performance monitoring tool with emphasis on ease of setup and use. Providing similar functionality like NewRelic/AppNeta/Skylight etc.
Language:JavaScript
shireeshj/AutoHotkey_L
AutoHotkey - macro-creation and automation-oriented scripting utility for Windows.
Language:C++
shireeshj/Automated-Essay-Scoring
Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle
shireeshj/cadvisor
Analyzes resource usage and performance characteristics of running containers.
Language:Go
shireeshj/classifier-reborn
A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.
Language:Ruby
shireeshj/DVWA
Damn Vulnerable Web Application (DVWA)
Language:PHP
shireeshj/Dynamic-SVG-Calendar-Icon
Here it is, an SVG calendar which always display's today's date.
shireeshj/elasticrtc-tools
Elastic RTC tools
shireeshj/flay
Language:Ruby
shireeshj/flot
Attractive JavaScript charts for jQuery
Language:JavaScript
shireeshj/frontend
Submit a petition to your Member of Parliament or service provider
Language:JavaScript
shireeshj/gvisor
Sandboxed Container Runtime
Language:Go
shireeshj/hacker-scripts
Based on a true story
Language:JavaScript2 0
shireeshj/iboot
Language:C
shireeshj/js-xlsx
:green_book: SheetJS Community Edition -- Spreadsheet Parser and Writer
Language:JavaScript
shireeshj/learn-react
Language:JavaScript
shireeshj/medium-editor
Medium.com WYSIWYG editor clone. Uses contenteditable API to implement a rich text solution.
Language:JavaScript
shireeshj/minio
Minio is an open source object storage server compatible with Amazon S3 APIs
Language:Go3 0
shireeshj/online_test
Online quiz/exam taking application.
Language:JavaScript
shireeshj/outdated-browser
A simple tool to identify and upgrade old browsers.
Language:HTML
shireeshj/public-apis
A collective list of public JSON APIs for use in web development.
Language:Ruby
shireeshj/Quillpad-Server
Quillpad Server repository
Language:Python
shireeshj/rails-security-checklist
:key: Community-driven Rails Security Checklist (see our GitHub Issues for the newest checks that aren't yet in the README)
Language:Ruby
shireeshj/Resume-Job-Description-Matching
The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score
Language:Python
shireeshj/SAMLRaider
SAML2 Burp Extension
Language:Java
shireeshj/security-training
Public version of PagerDuty's employee security training courses.
Language:HTML
shireeshj/sharedb
A database frontend for concurrent editing systems
Language:JavaScript3 0
shireeshj/ViewerJS
ViewerJS: Document Reader in JavaScript
Language:JavaScript
shireeshj/webrtc-privacy
WebRTC leak detection and validation for privacy concerns