Sonveer Narwaria

Software Engineer

Flipkart•  March 2019 - June 2020

Flipkart PLA team ( M3) is responsible for providing more profit to sellers. Sellers can advertise their product with the help of the PLA/Neo team. ● Worked on a data propagation pipeline for the availability of Flipkart in multiple dc have designed this and make sure that data will be in sync in both DC (currently Flipkart is serving from 2 DC's). ● Worked on real-time dynamic pricing ad system which controls budget spent for a given Ad (promiseAd) have found out which statical approach will be better for this and implemented it in our service ( impact: overburning is in control ) ● Designed and implemented sub-system with a single source(Kafka) and multi-sink architecture(Redis, couch base, MySQL) with High Availability requirements. ● Winner of the FLIPKART M3 Hackathon business category has built a handwriting based item addition ( in grocery). ( impact: grocery team approves that and they will use it). ● Have optimized deployment pipeline flow before that the deployment was too slow (2 hours 32 minutes) now we are able to complete the deployment in 29 minutes ( max time in 470 instances). ● - Worked on a solr search engine to provide efficient search (filtering and custom ranking powered via ML) have optimized it for memory. ● Working on End to end the pre-prod pipeline setup for all components to reduce the pre-prod testing time. ● Worked on ease development cycle flow so in case of dependency we can do our end-end to end development and sanity testing. ( we can do our development if we know the change on the dependent team)

Software Engineer

Ola•  July 2017 - February 2019

Ola Play division is responsible for bringing infotainment systems within the cars of the partnered drivers. Customers can enjoy a wide range of media content such as HD videos and latest songs over the devices installed in the car. The location plays an important role in the transport business. I have worked on several projects. ● Have worked on a location service Foodpanda, have changed the architecture ( latency and allocation is faster and booking was increased). ● Have worked on an ml-model serving pipeline for Ola-play so that we can show the relevant ad to users. ● Have developed an intermediate pipeline on the basis that we can downgrade and upgrade our cab to Prime-Play or Sedan. ● Mentored an intern for a project in the field of big data for finding the road conditions and identifying the behaviour of driver Link. ● Worked on the Location intelligence system and hot spot detection, so that we can find the popular demand zone for drivers. ● Driver operating area & home detection for an auto driver to identify the loyalty of auto drivers who are attached to OLA. ● Drop location suggestion & Income tag of users.