Rahul Tejwani is a Senior Software Engineer II with over a decade of experience building large-scale, data-driven systems across finance and cloud platforms. He has led design and implementation of distributed data platforms, real-time anomaly detection, and graph-based APIs for transactional linkage while at Goldman Sachs and AWS, and now contributes to core engineering at Uber. Comfortable in Java and Python, Rahul combines backend engineering with applied machine learning—having worked on time-series failure prediction and similarity/discovery engines that bridge datasets. He mentors junior engineers and is active in recruiting, reflecting strong technical leadership as well as people skills. Based in the NYC area, he holds an MS in Computer Science from SUNY Buffalo and a BTech from JIIT, bringing both academic grounding and practical production experience to complex data problems.
12 years of coding experience
9 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at State University of New York at Buffalo
Bachelor of Technology (BTech), Information Technology, Bachelor of Technology (BTech), Information Technology at JayPee Institue of Information Technology, Noida
Go libraries shared across Prometheus components and libraries.
Contributions:4 reviews in 1 day
golangmetricsshared-librariesprometheus
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Rahul Tejwani - Senior Software Engineer II at Uber