Developed a fault-tolerant distributed key-value store using the Raft consensus algorithm. The system ensures strong consistency across replicas, supports automatic data replication, and gracefully handles node failures. Integrated snapshotting and log compaction to optimize memory usage and maintain high performance under heavy loads.

End-to-end encrypted chat application with real-time messaging. Features secure key exchange and message encryption, multi-threading for concurrency support, password based authentication for security.

Distributed computing framework for processing large datasets. Implements Google's MapReduce paradigm with automatic task distribution, fault tolerance, and parallel processing capabilities.

Built a system to answer detailed Alzheimer’s questions by linking a large language model with a knowledge graph, providing more accurate and scientifically grounded information.