Summary
Meera Hahn is a research scientist with over a decade of experience advancing multi-modal vision and language models, currently developing generative visual tools at Google DeepMind after completing a PhD in Computer Science at Georgia Tech. Her work bridges academic rigor and product-scale research, blending generative AI techniques with a focus on human–computer collaboration to amplify artistic creativity. She has held research roles across Google, Meta (FAIR and Reality Labs), and industry labs, and teaches introductory computer vision at Emory University, reflecting a commitment to mentorship and education. Early internships across Amazon, NEC, and NSF-funded projects gave her practical experience in deploying ML systems and feature extraction for tracking, which informs her applied research perspective. Meera’s background in both NLP and vision, combined with hands-on production and teaching roles, uniquely positions her to translate cutting-edge research into tools creators can use.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Georgia Institute of Technology
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at Emory University
English