• Collaborating as key member of the performance team for Zoho Cliq, focusing on enhancing technical performance and overall efficiency of product.• Optimizing Redis performance by leveraging hash data structure to replace existing string modules, minimising serialisation/deserialization overhead and reducing memory usage.• Implementing user-based clustering in Redis for each unique user by utilizing consistent hashing algorithms, enhancing data management and retrieval efficiency.• Enhancing MySQL query performance by analyzing query execution plans, splitting transactions, optimizing joins, indexing, and implementing data partitioning.• Implementing bean interceptor layer with pre- and post-invoker methods, enabling monitoring of execution time and record counts, as well as incorporating an emergency blocker, criteria verifier, and query limit checker in pre-invoker.• Developing miniature tools to enhance system functionality, including tools for analyzing history of query performance in MySQL using Performance Schema• Providing Redis cache overview and manipulation, Repairing and syncing file storage with temporary storage.• Tuning Java Garbage Collection (GC) in CMS GC to minimize pause times, ensuring efficient garbage collection.• Leading end-to-end module development, platform integrations, and RESTful API development.• Developing various features including message-to-translation, recurring reminders, scheduled messages, and starred messages.• Implementing auto-translation for asynchronous message send callbacks using Java Future, queueing them via Kafka, and broadcasting results to all clients via WebSocket.• Developing scheduled messages and recurring reminders using scheduled thread pool executors with fail-safe retry mechanisms.• Creating wrapper over HTTP calls to terminate slow-processing HTTP requests by managing output streams in worker threads with timeouts using Java Future.