Machine learning plays a pivotal role in the e-commerce industry, providing essential insights into consumer behavior, preferences, and trends, thereby empowering platforms to make decisions based on data-driven analysis.. Myntra, as a leader in e-commerce, excels in providing a world-class user experience by extensively employing machine learning in areas such as personalization, search ranking, widget reordering, and various other models.
This presentation delves into following topics
- Kafka Topology deployed for real time machine learning workflows
- Kafka Configurations required for an optimized and efficient machine learning pipeline
- How we use Kafka Connect to populate our real time vector/feature store.
Join us to learn how Kafka and Kafka ecosystem enable machine learning and feature engineering pipelines production at Myntra scale.
Presenter
Rohan Sonawane
Myntra Designs Private LimitedRohan Sonawane, a Senior Software Engineer at Myntra in Bangalore, India, boasts 5.7 years of stellar experience in software development. Currently leading vital initiatives, he spearheads Myntra's centralised Async Messaging Kafka platform Airbus, catering to 100+ clients. Rohan oversees Kafka infrastructure maintenance and SDK development in Java, Golang, and Python, ensuring seamless integration and handling billions of daily messages.
His expertise extends to optimising clickstream pipelines with Apache Spark Streaming for real-time data processing and actionable insights. Formerly excelling as a Software Development Engineer at Myntra, Rohan automated manufacturing processes and crafted Spring Boot applications and React-based UI components for reporting tools.
With a Master's from IIT Madras, Rohan's holistic skill set and innovative drive continue to shape the software engineering landscape.