About

Deepak Sharma is an Associate Architect cum Product Developer at Myntra Jabong with over 10 years of experience in the software industry, including 6 years of experience in e-commerce. He possesses good mentorship and leadership skills and deep expertise in backend and frontend systems. His expertise lies in designing, developing, and deploying backend services with a focus on high availability, low latency, and scalability. In his current role at Myntra, Deepak is responsible for the Looks Recommendation Tier 2 Platform (Lisa), which involves recommending any combination of styles/products that can be worn together. He has also worked on Cross-sell recommendations, which contain other recommended products that could be paired with the purchased product to create a look. Additionally, he has worked on Shoppable Looks, which allow users to shop for products (same or similar) that the model is wearing in PDP. In his previous role as a Technical Lead at Myntra, Deepak worked on various projects, including the Search Core Platform (Backend Systems) and Mobile Apps. He designed and implemented the indexing pipeline for product data, which involved real-time processing of push and pull-based indexing events using Apache Storm stream processing framework and storing them in databases like Mongo, Solr, and Redis. He also worked on designing and developing customised Expandable ListView to handle a variety of different layouts and developed the MynACo Analytics library, which integrates multiple analytics tools such as Google Analytics, Localytics, and Apsalar with an easy-to-integrate abstraction layer. Deepak has a Master of Technology degree in Software Subsystem from Birla Institute of Technology and Science, Pilani, and a Bachelor of Technology degree in Electrical, Electronics and Communications Engineering from Icfai University. His relevant experience includes 9.87 years, and he has expertise in Apache Storm, Java, Spring, Backend, UI, Kafka, Frontend, Redis, MongoDB, Search, and Mobile.