Mvelopes is online money management tool .The product is made in Flex 4 as frontend and Java as back end technology. The purpose of the tool is connect with with different financial institutions and the users in order to track the expenditure of the customer automatically and hence provide a system to for money management and planning for the customer with ease and automation.

Had an experience of connecting different financial institution data,whose data used to reconcile the already existing data to develop sync between the money manager tool and institution data.Some of the other banking features that worked on include

1. Card Payments

2. Wallet Payments

ADI is an ETL (Extract Transform Load) tool essentially used for loading of data. Assisted in the implementation of the tool at the client end (HDFC).The extracted data is further used by Axon Reports to visualise and organise in terms of data sectors and charts.

Axon-Report is a reporting tool, enabling end-Users to view the results in forms of charts, pivots and Dashboards. Connection is established to a remote Database (eg:-sql server 2005,Oracle etc.) and using this connection, queries are created (data is fetched), which is then presented in form of charts by the tool. These charts are finally added to the Dashboards which are published and available to the end Users. Developed by Nouvasys.

Involved in Verification plan and coding of Test cases for Ethernet controller IP as part of IP verification project. Conducting Verification Planning and creating verification Plan document as per IP level Integration verification.

Involved in Verification plan and coding of Test cases for Ethernet controller IP as part of IP verification project. Conducting Verification Planning and creating verification Plan document as per IP level Integration verification.

Which interacts with different external API to to pull data and show it to the user which was based on MEAN stack

On elastic search model,i have worked to build a system in Java using Spring Hibernate which can prepare and do data preparation for indexing it into Apache elastic search

The product provides an interface to both customers and lexstart admin team to initiate,progress and complete the ESOP process seamlessly using through technology which in turn involved layers of security check and authentication

This product provides customers(startups and companies) to manage complex investment cycles seamlessly all through a system.They can predict and calculate share securities and analyse on the data so that they can come up with a better decision.

This product provides an automated way to access some of the free easy templates like NDA etc and some of the complex templates easily by paying some nominal price.It also gives users a dashboard to manage all kinds of templates.Can share,edit reuse templates.

This product provides an interface to customers and admin Lexstart team to go into to forth system to complete a particular compliance task like increase in authorised share capital is a task which needs both admin and customers to complete the task.This product provided a way to this seamlessly through an automation.

This project is about all kinds of second hand cars in India ( web portal ). The main learning curve for me other than the technology used, was how to make a portal which is SEO friendly. Normally AngularJS projects are not SEO friendly .So it is important to note down the points during the development phase to include into the code so the google bot finds your page and your page is SEO friendly.So this project taught me to do MEAN stack development with SEO optimized pages.

This project is a portal about all kinds of Indian Artist.The entire search module formed the heart of the project which was run by mongodb query and overall MEAN stack.

This project is about creating a culture of meeting people whether its professional or personal.During the tenure I learned first time to integrate CUI(Conversational User Interface) into web portal and also work on top of API.AI API's.The whole web project is done using MEAN stack and scalable to millions of users.

In this project I have learned about IOT(Internet of Things). I was responsible for giving a solution of capturing sensor data and building intelligent visual analytics over the data.The whole project is done with MEAN stack. It also involves dealing with IOT and MongoDB communication and sync.

In this project I was responsible for only the backend which was done in NODE.JS. I also learned and implemented a sync adapter which helped the app to run offline without an internet connection and on availability of a connection it would automatically sync the data to the cloud.