Jan 2021 – Mar 2022 · 1 yr 2 mos · Bengaluru, Karnataka, India

• Working on IBM Cloud:
• Handling different aspects of istio and knative.

Jul 2019 – Jan 2021 · 1 yr 6 mos · Bengaluru Area, India

• »GMR: Designed and developed Global Merchant service which aims to identify all the merchant names and IDs of all transactions within one global merchant name build in Golang using Levenshtein Algorithm, in order to assign the access of transaction for a particular merchant in Happay card.
• »Charge Card: Functions similar to credit card, Organizations can have predefined credit from happay which can be utilized by the employee on different criteria and paid later to clear the dues.
• »Happay-Bills: Designed and developed Golang services which enabled integration of Bharat Bill Payment System with Happay points, for notifying and paying bills of different billers according to their billing conventions.
• »Reward Points: Built Happay Reward points in order to calculate reward on the basis of factors assigned to the merchant.
• »Migration of user details from PostgreSQL to ES in order to reduce the response time of 25 million users , which improved the response time to 60%.
• ★Technologies: Golang, Python, Distributed systems, Kinesis data stream, Elastic search, PostgreSQL

Apr 2018 – Jun 2019 · 1 yr 2 mos · Bengaluru Area, India

• ✈ Flight Status : Build end to end service for Tracking the real-time status of the flights.
• » The backend is developed using python, flask.
• » Objective was to make the backend service highly available, robust, and scalable.
• » The frontend was developed in angular 6 which is very user-friendly with appealing UI.
• » We highly focused on making the product responsive with all old and latest mobiles.
• » We supported all cross-browser platforms.
• ✈ Communication Engine: Worked on communication engine service which allows sending the message to the different messaging platform using publisher-subscriber architecture in real time.
• » Integrated with highly used social networking platforms such as Mobile Message, Facebook, WhatsApp.
• » The Aim was to update the customer in real time as soon as there is any update for the particular flight.
• » We utilized GAE'S publisher subscriber to make the service efficient and fast.
• ✈ Homepage:
• » The aim was to develop a high-performance webpage with loading time <3sec.
• » We highly focused on making the product responsive with all old and new mobiles.
• » We supported all cross-browser platforms.
• ★Technologies: Python-Flask and Django, Nodejs-Express, Angular6, React.js, GAE, Firebase, Memcache, pub-sub, SonarQube.

Jan 2017 – Mar 2018 · 1 yr 2 mos · Bangalore

• ✍ Clearinghouse: Aims for the fast response from the multiple scalable microservice(event driven) communicating with each other using rabbitmq in order to process the EDI response from hospital to channel and back.
• » Secured authentication is designed using Redis DB for faster response.
• » Implemented own webhooks to connect between the independent services as EDI message flows through which is updated in MongoDB, later dump to the Amazon s3 after a period of time.
• » Design and developed different module, implemented elastic search and payment gateway.
• » Our main focus was to develop a scalable product with response time <200 ms.
• ★ Technologies: Nodejs- Express + Restify, MongoDB, Redis DB, Amazon S3, Sumo Logic, EC2 instance, Vagrant Tableau, SonarQube, Jenkins.