Parijat Sinha is a software engineer with 10 years of experience building distributed storage and stream-processing systems, currently working on data infrastructure at Meta in Seattle. He has a strong backend focus from roles at AWS—where he helped redesign DynamoDB Global Tables, improved Kinesis/DynamoDB streaming libraries, and delivered a GDPR-compliant replication sweeper that saved $4M in storage CAPEX—to earlier work building real-time sensor analytics and reliability tooling. His background blends formal operations-research and computer-science training with hands-on systems design, concurrency controls, and large-scale data replication optimizations. Known for pragmatic algorithmic solutions, he has implemented novel rate-limiting and anomaly-detection approaches and led small teams to deliver production-grade products on time.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Master of Engineering, Industrial Engineering (Operations Research), Master of Engineering, Industrial Engineering (Operations Research) at Texas A&M University
Bachelor's degree, Engineering, Bachelor's degree, Engineering at Marine Engineering And Research Institute
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