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Upcoming

Vijaya - The Desktop Search

Vijaya Desktop Search is much like Google Desktop Search. Once Installed, It will scan and index through your entire accessible file system. It will then provide you a more friendly search using the browser. How exciting? Search Desktop like the Web! Built using Core Java, Java EE, Spring Boot, Hibernate Search, Apache Lucene, JSP, Servlets, XML and Ajax.

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Obelix - Microservices Reference

A Reference Implementation of the Microservices Architecture. It covers the gamut of API Gateway, Circuit Breaker, Service Discovery, Config Server, Load Balancing, Declarative Web Service Invocation, Client Side Load Balancing, Docker (Windows), Sample Microservice Use-Cases, Rabbit MQ (Event Driven), Saga Design Pattern, CQRS Design Pattern, Event Sourcing Design Pattern and MySQL.

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Sherlock - Mystery that is Data

Sherlock was the corporate finalist entry in the Societe Generale Brainwaves Hackathon 2015. It was submitted under the Artificial Intelligence Track. Sherlock uses Rules Engines, Complex Event Processing to find event correlation. It can be extended to include Machine Learning models to enhance its ability and to add dynamism.

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Bhej - URL Management

Bhej is a hindi word for 'Send'. Much like the popular bit.ly, It provides URL lengthening, shortening, redirection and overall URL management. It also aims to provide never before seen innovative feature set in the area of URL Management. It is based on another URL engine called LUT.SU! (Long URL to Short URL). LUT.SU! was built to alpha prototype stage by my startup, TechArmy.

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Mowglee - The Web Crawler

Mowglee is a web crawler or intelligent agent built using Core Java. It is multi-threaded, asycnhronous and also respect every web site by adhering to Robots Exclusion Protocol. Also, It is a highly extensible framework to extend its functionality. It also allows multiple plugins like Sitemap and any other Site Filtering Plugins. Mowglee was my Project at the Proficience (Intelligent Agents) Course.

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Team Jam - The Collaborative Editor

This was the submission for an Interview Process for the position of [Senior Architect] in a Startup Organization in 2017. Even though I was not selected after about 4 rounds of interviews, I took a liking to the problem presented. Much like Google Docs, Team Jam allows for Collaborative Editing in a Simple Way. If time allows, I will continue to add functionality and features to this editor.

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