Aastha Grover is a software engineer with 7 years of experience building production systems across embedded RTOS, cloud, and data domains. At Intel she contributes to the Zephyr RTOS—owning the x86 platform and fixing low-level kernel issues such as CPU exception handling, thread wake APIs, and architecture-specific error handlers—while engaging with external business units. She previously built cognitive computing and search platforms at Fidelity, using AWS, Django, Neo4j, and Apache Solr to reduce costs and accelerate data discovery. Comfortable across Python, C/C++, Java, and cloud/Big Data stacks, she blends firmware-level rigor with end-to-end application and ML model experience. A Northeastern MS in Information Systems graduate, she pairs production-focused engineering with open-source leadership as an active Zephyr contributor. Colleagues value her ability to move between deep systems work and data-driven product outcomes that create measurable business impact.
7 years of coding experience
3 years of employment as a software developer
Master of Science (MS), Information Systems, Master of Science (MS), Information Systems at Northeastern University
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Apeejay College of Engineering,Gurgaon
Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:184 reviews, 39 PRs, 350 comments in 4 years 4 months
Contributions summary:Aastha's contributions primarily focused on modifying and improving the Zephyr RTOS kernel. They addressed issues related to CPU exceptions, including making exception handling more generic. The user also added a new API for waking up threads and resolved a race condition in the event handling system. Furthermore, the user fixed an issue with the XTensa architecture error handler.
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Aastha Grover - Software Engineer at Intel Corporation