About

Adarsha Das is a highly skilled Software Architect with a focus on building scalable systems and maintaining aggregation layers. He has extensive experience in micro-services, CQRS, event-driven architecture, and the Spring Ecosystem. Adarsha is also an expert in domain-driven design and has worked with various technologies such as Kafka, Hbase, Elastic Search, Redis, MySql, and Apache Flink. Currently, Adarsha is working as a Software Architect for Meesho, where he is responsible for designing and developing the machine learning platform. He has successfully planned and owned roadmaps for migrating batch mode inferences to near real-time and real-time setup, reducing over computation costs by xx%. Adarsha has also designed and developed an in-house online feature store for super-fast feature retrieval during online inference. He is managing a highly motivated team capable of delivering massive migrations to real-time personalization in weeks. Adarsha has designed the experimentation framework for real-time personalization with systemic controls on isolated audiences and overlapping audiences. He is also working on designing cloud-agnostic infrastructure for model deployments across clouds. Adarsha is passionate about designing intra app-session personalization capabilities to make personalization more effective and fast. In the past, Adarsha has worked as a Lead Software Development Engineer for Discovery and Software Engineer III for Platform at Meesho. He has successfully planned and executed migrations for widget infra to MongoDB based solutions. Adarsha has also designed and developed a fallback feed service for powering listing pages, handling throughput in order of x10k Qps with p99 latencies of ~15ms. Adarsha holds an Integrated Dual Degree in Mining Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi. He also has a background in Science and Mathematics from Kendriya Vidyalaya. Adarsha has a relevant experience of 5.62 years and is an expert in ML, senior software engineering, infra, search, software engineering, Redis, MySQL, Elastic Search, Kafka, Spring, microservices, and MongoDB.