Rajesh Golani

I was part of the team which developed a web application to track each group of migrants and make coordination easier between different stakeholders. Currently, the app is being adopted by the Jharkhand state of the government of India.
My primary role was to develop a back end using Django, MYSQL, and an admin dashboard using Angular. I used JSON fields in JSON to store NoSQL kind of data. Enabled social media logins by integrating Facebook and Google API. I also used Google's location services to track the location of migrants and provide a Map view of the groups of migrants.
The tech stack is Django, Django Rest Framework, Angular, and Java.

Developed a web-based lead identification system, which increased the closed-sales by more than 20% in the first year. My primary task was to process, classify and tag the leads generated by marketing team, based on past sales and additional acquired metadata from the internet. These were then presented to the sales team via a web interface, which was powered by Angular front end and Flask back end.

Developed a simple dashboard to enable scheduling of voice broadcasts and voice IVRs. The application interfaced with various cloud telephony services such us exotel, tringo and awaz De. There was a facility to manage phone numbers and create groups to manage subscribers. Implemented an efficient scheduling algorithms for maximum outreach and 100+ concurrent voice calls.
This system was serving over 50,000 subscribers and a million plus voice calls.
The tech stack of the project was PHP/Mysql and later migrated to Python/Django/MySQL and Angular.

A Django/Angular application to display works of Gandhi in easy to view format. All the writings of Gandhi are available in the public domain in the form of 98 PDF books. The primary task was to implement natural language processing on the extracted text from pdf, to identify dates, context, and entities from the articles. Each of the articles is extracted, cleaned, and indexed into the database for easy search and retrieval. A simple front end has been developed powered by Angular.

Data related to public welfare schemes is distributed on various government websites. The idea of the project was to download such data and generate analytics and actionable information that can be used for public policy discourse.

My primary task as a back-end engineer was data crawling, data modeling, and data analytics. The technology stack consisted of MySQL, Django web framework, Django Rest Framework, PySpark, AWS Services, along with various parsing and crawling libraries in python. A substantial amount of effort was put in Queuing frameworks to download data faster and accurately.