Software Engineering Manager @ Alloy Automation |  Backed by a16z, Bain, & YC  | Expert in Full Stack Development and AI

Rajesh Dhiman  • Peerlist

An express based back-end service that periodically fetches RETS data from multiple MLS servers using Node.js RETS client. Data from each server is then normalized and processed and used as the database for a prominent real estate company in the US.
Key Learnings: 
How to handle large volumes of data and optimize resource utilization while processing a massive amount of data.
How to setup and tweak Azure cloud for node js applications, how to use Azure file storage and cosmosdb. 

PB Rets Normalization Engine

Created a mobile website in ASP.NET and mobile jQuery for EHS Healthcare system. 
Technologies used : 
DotNet Framework 4.0, C#, SQL Server 2008, HTML5, Mobile jQeury, nUnit for unit testing

EHS Healthcare Mobile Website

A CRM designed for the internal organization to reduce manual work for your front line staff and improve time management by automating common tasks, queries and reports on customer interactions and critical business processes.   Application is designed using MEAN Stack, also have features like Excel Reports generator.Import & Export of Data, graphical reports.

Royal One CRM

Worked on Admin management system for the application in DNN along with a WCF service for android and iphone apps for taxi booking by customers and assignments to drivers.
Technologies used :
DotNet Framework 4.0, C#, Microsoft SQL Server 2008 R2, SQL Reporting, Services WCF Rest Services with C#,DNN 6 with C#,  Google API for Location address, Elmah for Bug Tracking 

Mob1 Taxi Application

Working on AmericanCare Web Application in a team of 7 developers.
It is an online health care system which is being used as an in-house application in over 25 locations in Florida. It is being used by 350+ employees of AmericanCare Inc. to manage over 11000 active patients from total 80000 patients.Application is being used to manage health records of out patients and from management perspective to track performance of any medical center.
Technologies used :
DotNet Framework 4.0, C#, SQL Server 2008, MVC 2.0,MVC 3.0, Telerik Toolkit, LINQ, Entity Framework