Summary
Anil Ramakrishna is a research scientist with 11 years of experience specializing in data privacy, IP risk assessment, and applied machine learning. He has transitioned from system-level engineering roles at HP and NIH-associated labs to research and applied science positions at Amazon and Meta, blending production-grade implementation with rigorous academic training. Holding a Ph.D. in Computer Science from USC and multiple master’s degrees, he brings deep expertise in data sciences and systems reliability. At Amazon he progressed from Applied Scientist to Senior Applied Scientist, and now at Meta focuses on mitigating privacy and intellectual property risks in large-scale models and data pipelines. He combines hands-on systems debugging and low-level tooling background with contemporary ML research, making him effective at moving ideas from prototype to production. Based in Sunnyvale, he pairs academic rigor with practical engineering discipline to solve nuanced privacy and trust challenges in real-world platforms.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Southern California
Bachelor of Engineering (B.E.) Computer and Information Sciences, Bachelor of Engineering (B.E.) Computer and Information Sciences at B. M. S. College of Engineering
English, Kannada, Hindi