Feb 2022 – Mar 2025 · 3 yrs 1 mo · Bangalore Urban, Karnataka, India

• Led the design and implementation of a scratchcard service using probabilistic-based reward allocation techniques to enhance customer retention.
• Spearheaded the development of Myntra's gamification platform, specifically focusing on the "Challenges" feature, resulting in increased user engagement.
• Oversaw the cross-data center migration of backend services, ensuring minimal disruption to service availability and enhancing scalability.
• Established standards and processes within the team, including robust metrics tracking systems and comprehensive sprint tracking mechanisms.
• Collaborated with the Data Science team to develop innovative solutions like "My Stylist" and "Maya," leveraging cutting-edge technologies to enhance user experience.

Jun 2020 – Oct 2021 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

• Payments at Groupon are powered by Groupon’s Global Payment Platform (GPP). GPP supports more than 15 different payment methods and all popular card variants globally.
• ● Working on a payment analytics pipeline to push the data from SQL-Slave to Teradata.
• ● Have developed a system to manage the payment compliances for deletion of expired cards from the system with controlled RPM, so that the system does not get bombarded with requests.
• ● Have migrated the services database (SQL) from on-prem to cloud (AWS) for 3 services, The migration is done with on-fly traffic i.e. live traffic with minimal downtime needed for service.
• ● Working on a multiple payment plugin killbill retry, Adyen, Orbital,Paypal using Kill Bill.

Mar 2019 – Jun 2020 · 1 yr 3 mos · Bangalore Urban, Karnataka, India

• 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.
• ● Have 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).
• ● Have Worked on real-time dynamic pricing ad system which controls budget spent for a given Ad (promiseAd) have found out which statistical approach will be better for this and implemented it in our service ( impact: overburning is in control )
• ● Designed and implemented a sub-system with 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)
• ● Have optimized deployment pipeline flow before, 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).

Jul 2017 – Feb 2019 · 1 yr 7 mos · Bangalore Urban, Karnataka, India

• 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.