Summary
Ananya Garg is a software engineer focused on training and inference acceleration for large-scale ML systems, currently at Meta’s Superintelligence Labs after a year-long SWE internship at Meta. With four years of hands-on experience spanning industry internships and research, she blends practical systems engineering with academic work in generative 3D, image processing, and ML for network optimization from UNC Chapel Hill. A Kleiner Perkins Engineering Fellow and former president of her ACM chapter, she moves comfortably between startup environments (Imprint, backed by top VCs) and heavyweight platform engineering. She’s also explored the investor side briefly, evaluating AI infra and legal AI opportunities, signaling a strong product and market sense beyond pure engineering. Based in Chapel Hill, she brings statistical rigor from a CS and Data Science background to infrastructure problems that demand both performance and empirical validation. Colleagues describe her as a fast learner who treats research prototypes as production-adjacent building blocks rather than academic curiosities.
4 years of coding experience
3 years of employment as a software developer
North Carolina School of Science and Mathematics
B.S. Computer Science Statistics Data Science Minor, B.S. Computer Science Statistics Data Science Minor at The University of North Carolina at Chapel Hill
Ardrey Kell High School