Naman Shrimali is a software engineer with 7 years of experience building resilient, cost-efficient distributed systems and full-stack web applications, currently at Meta after impactful roles at AWS and IBM. He holds a Master's in Computer Science from NC State and specializes in cloud-native services, reactive Spring backends, React/Flutter frontends, and AWS Kinesis. At AWS he eliminated durability incidents and drove availability and cost wins—introducing consensus quarantining for Kinesis and a bin-packing optimization that cut EC2 spend while improving utilization. His IBM work delivered production features and test/CI tooling that improved deployment speed and service reliability, and he’s contributed full-stack functionality to the NSF-backed Expertiza peer-review platform. Equally comfortable in systems-level debugging and user-facing UI work, he also experiments with HCI and mobile app development in his spare time. Based in Seattle, he pairs pragmatic engineering with a curiosity for operational tooling and human-centered interfaces.
7 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at North Carolina State University
Bachelor of Technology - BTech, Computer Engineering, Bachelor of Technology - BTech, Computer Engineering at Poornima College of Engineering
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Role in this project:
Full-stack Developer
Contributions:46 reviews, 71 commits, 54 PRs in 11 months
Contributions summary:Naman's contributions focused on integrating role-based and topic-based reviewing functionalities within the Expertiza web application. They implemented UI elements for rubric selection, addressed assignment creation bugs, and resolved merge conflicts. Furthermore, the user updated code for team functionality and implemented a system for questionnaire variation based on duties. The commits also included the modification of files related to assignment questionnaires and review strategies.
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