Negar Ghorbani is a research scientist at Meta Superintelligence Labs with a decade of experience applying ML, NLP, and software engineering research to boost developer productivity and automate engineering tasks. She holds a PhD in Software Engineering from UC Irvine, where her graduate work focused on software analysis, testing, and ML-driven automated software engineering. At Meta she builds applied research that translates into developer-facing tools and previously contributed to infrastructure and efficiency improvements on the Probability team. Her internships at Microsoft Research and Fujitsu produced practical research on merge-conflict resolution and bug mining that bridge academic rigor with production needs. Based in San Francisco, she combines deep academic training with hands-on systems and product-oriented problem solving, often exploring how language models can streamline real engineering workflows. Colleagues would note her rare blend of software craftsmanship and research-first thinking that consistently moves ideas toward deployable impact.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Computer Software Engineering, Bachelor’s Degree, Computer Software Engineering at Sharif University of Technology
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