Rajdeep Lather is a Senior Engineer specializing in big data and distributed systems with seven years of experience building scalable, production-grade services across Oracle and AWS. He has deep hands-on expertise in machine learning infrastructure and computer vision from his time on Amazon Rekognition, where he delivered ML-as-a-service, CI/CD pipelines, and operational monitoring for high-throughput systems. Rajdeep’s background includes research-grade distributed simulation and hyperparameter optimization from his MS work at George Mason University, bridging academic algorithms with cloud deployments on AWS. Earlier roles in fintech and enterprise (HSBC, Aricent) honed his skills in resilient microservices, real-time data pipelines, and operational support for high-traffic systems. He holds an MS in Computer Science (3.87 GPA) and combines strong engineering discipline with a knack for turning research prototypes into scalable production services. Based in Gurugram, he’s comfortable shipping across the stack—from low-level distributed architectures to analytics dashboards and observability solutions.
7 years of coding experience
6 years of employment as a software developer
High School, High School at Venkateshwar International School - India
Master of Science - MS, Computer Science, 3.87/4.0, Master of Science - MS, Computer Science, 3.87/4.0 at George Mason University
Bachelor of Technology - BTech, Computer Software Engineering, Bachelor of Technology - BTech, Computer Software Engineering at Delhi Technological University (Formerly DCE)
Contributions:1 PR, 6 pushes, 2 branches in 1 year 6 months
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