MapReduce Infrastructure

Overview A distributed, fault-tolerant MapReduce implementation built from scratch in C++ with gRPC and multithreading capabilities. Architecture Master-Worker Architecture: Centralized job scheduling and coordination Fault Tolerance: Automatic task reassignment and recovery mechanisms Load Balancing: Dynamic task distribution across worker nodes Network Communication: gRPC-based inter-node communication Key Features Distributed Processing: Handles large-scale data processing across multiple nodes Fault Recovery: Automatic detection and recovery from node failures Scalability: Supports dynamic addition/removal of worker nodes Performance Monitoring: Real-time metrics and progress tracking Technical Implementation Language: C++ for high performance Communication: gRPC for efficient network communication Concurrency: Multithreading for parallel task execution Storage: Efficient data serialization and storage management Use Cases Large-scale data processing Distributed computing research Educational purposes for understanding MapReduce concepts View on GitHub →

1 min · 123 words · Raj Shah

Senior Member Technical

Overview Senior Member Technical in the Middleware team at The D. E. Shaw Group, focusing on trading middleware systems, performance optimization, and team leadership. Key Achievements 30% ops workload reduction by enhancing recovery of partial transaction log files and adding integrity checks against distributed replica warehouses 40% trading middleware performance boost by optimizing cryptography implementation with OpenSSL and Java Native Interface, eliminating garbage generation Led UI design of the intern evaluation portal and UI overhaul of the monitoring tool based on user feedback Mentored two summer interns through successful completion of their internships Technical Contributions Performance Optimization Enhanced recovery mechanisms for partial transaction log files Optimized OpenSSL and JNI implementations to eliminate garbage generation Added integrity checks against distributed replica warehouses Leadership & Mentoring Led UI design initiatives for internal tools Mentored and guided summer interns Conducted user feedback sessions for tool improvements Technologies Languages: Java, C++ Systems: Apache Kafka, OpenSSL, JNI UI/UX: Frontend development, user research Infrastructure: Distributed systems, transaction logging

1 min · 162 words · Raj Shah