Sep 2017 – Feb 2018 · 5 mos

Mar 2017 – Aug 2017 · 5 mos

Jun 2016 – Feb 2017 · 8 mos

• Key Responsibilities:-
• Lead a team of backend developers in Technology function of Analytics Department and guided them to implement any new data solutions in the least time with the scalability at its core.
• Redesigning and developing the Backend Code Architecture to accommodate rapid and very dynamic requests from company top management, in order to visualize the results and effects of various growth experiments.
• Changing the architecture for Mysql data warehousing in order to process a large amount of data in real time.
• Streamlining the process of data replication from local MySQL databases to Google Big Query using Python, Crontab etc.
• Optimization of Google Big Query processing cost. It includes making the generic query structure for lesser data processing and much better warehousing of data in Big Query.
• Technologies Used:- AWS, Linux, Node.js, Mysql, Google Big Query, Redis, Redash, Git.

Jan 2016 – May 2016 · 4 mos

• Key Responsibilities:-
• Worked on the backend development of In-House Analytics product, helping the company to visualize the effects of operations and marketing experiments in real time and make data-informed decisions.
• The panel is responsible for processing and visualizing the very large amount of data for nearly 50 cities and catering to all Jugnoo services like Jugnoo Autos (On Demand Auto Rickshaw Service), Jugnoo Delivery (On Demand Delivery Service), Jugnoo Meals(On Demand Food Delivery Service), Jugnoo Menus (Restaurants Aggregator)
• It includes real-time data processing across all the Jugnoo verticals and visualizing it as “Live Panel”, for real-time actions.
• Handling the backend of “Analytics Panel”. It includes processing a large amount of historical data and making custom visualizations out of it, in order to see trends and help in decision making.
• Making various industry standard visualization tools like Cohorts, Funnels, Spatial, Hourly Trends etc.
• Technologies Used:- Node.js, Mysql, Google Big Query, Redis, Git.

Jul 2015 – Jan 2016 · 6 mos · Mohali

• Key Responsibilities:-
• 1) To make a real-time customer support chat system “Chat With Us” single-handedly. It is a clone of Zopim.
• a) Handled full stack development of the product, right from feature deciding to its implementation to deployment.
• b) The module is plug and play, supporting easy on the go integration with any website.
• c) Handled various scalability issues like single login, session management, queueing of messages.
• d) Technologies used:- Node.js, Wesockets, Redis, Mysql, Javascript, HTML, CSS.
• 2) Worked as a full stack developer in “OmniPrime” (a multi-channel E-Commerce Sellers platform).
• a) The product integrated various major marketplaces like Flipkart, Amazon, Snapdeal etc. It provides the sellers with a common platform to manage all the marketplaces involving order management, inventory management, inventory sync across various platforms, order dispatching etc.
• a) My responsibility was to handle the whole ORDERS module, including various flows like Order Management Cycle at the backend, Visualising various KPIs (order level and overall level) and communicating with various other modules like Inventory, Dispatch, Marketplace etc.
• b) It involved customizing the ERP framework named Apache OfBiz and developing various custom application control flows based on business needs.
• c) Technologies Used:- Apache OfBiz, Java, FTL, Mysql, Docker, SVN, HTML, Javascript.

Jan 2015 – Jun 2015 · 5 mos · Mohali

• Started my professional career in my 8th sem as an Intern here. Learned a lot of technical stuff and new technologies. Some of the technologies I got hands-on here are:- Node.js, Redis, Mysql, Java, Apache OfBiz, HTML, Javascript etc
• Major projects I worked on here are:-
• Worked on Backend of "BusEYE" - an Android App which clicks students images inside the school bus and transmits back to their parents for real-time monitoring the safety of their children. Along with images application also transmitted the real-time location of the bus and its route being followed. My role was to handle the images/location data and to transmit it to the respective parent's app.
• Technologies Used for "BusEYE":- Node.js, RabbitMQ, Google Maps, Pub-Sub Model.