Manjot Bedi is a software engineer with nine years of experience building resilient, cloud-native systems and data pipelines across AWS and Kubernetes. He has driven measurable impact at scale—architecting Kinesis-based ingestion and cost-optimized pipelines at Amazon, accelerating analytics and reducing costs, and improving real-time systems at Wayfair and Wipro. His background blends academic research in NLP and LLM-backed sentiment analysis (resulting in four publications) with hands-on engineering that delivered API, Kafka, and gRPC integrations and CI/CD improvements. Comfortable with infrastructure-as-code (AWS CDK, CloudFormation), container orchestration, and production ML services, he often bridges research and product to turn experimental models into reliable APIs. Based in the United States with an MS in Computer Science from Northeastern, he brings a pragmatic focus on performance, observability, and cost-efficiency that consistently reduces latency and operational overhead. An early habit of building network monitoring tools during an IIT-Kanpur internship hints at his long-standing interest in systems-level debugging and security-aware engineering.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at Jaypee Institute of Information Technology, Noida
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Northeastern University
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Manjot Bedi - Software Engineer at Amazon Web Services (AWS)