Summary
Amrita Bhattacharjee is an Applied Scientist II based in Palo Alto with a PhD in Computer Science focused on AI and LLM safety, bringing six years of research and applied experience across academia and industry. Her work centers on responsibly leveraging LLMs as pseudo-oracles, robustness and safety of generative models, and low-resource detection of AI-generated content—research that has produced 20+ peer-reviewed papers, 1,300+ citations, an AACL Outstanding Paper Award, and three provisional patents. She has translated research into practice through internships at NVIDIA (NeurIPS 2024 publication) and current work on personalization, trust, and safety on Amazon’s Rufus Alignment team. An experienced mentor, instructor, and program committee member for major AI conferences, she combines rigorous academic training (perfect GPA across MS/PhD) with hands-on deployment experience, making her adept at moving safety-focused LLM research toward real-world impact.
6 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at Ira A. Fulton Schools of Engineering at Arizona State University
Bachelor of Technology - BTech, Computer Science, 9.11/10, Bachelor of Technology - BTech, Computer Science, 9.11/10 at Heritage Institute of Technology, Kolkata