Mohd Zaidi is a research engineer with 9 years of experience building and stabilizing large language models at Samsung, where he helped develop Gauss for Galaxy AI and published DeepScaleLM (ICML 2024) on signal propagation in LLMs. He brings a strong research-to-product track record across transformer training, scaling laws, compression, and alignment methods, backed by earlier speech-translation and QA work that earned Samsung Best Paper and top MS MARCO rankings. Educated at IIT Kanpur (B.Tech) and Georgia Tech (MS, 4.0 GPA), he combines rigorous academic grounding with hands-on system engineering in production AI. Based in Seoul, he also has cross-domain experience from ISRO research to building recommendation and search systems at Pocket FM, reflecting a knack for turning theoretical insights into scalable, real-world solutions.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Georgia Institute of Technology
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Contributions:4 pushes in 11 months
nlpsequencepythonmachine-learningfacebook
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Mohd Zaidi - Research Engineer, Generative AI Taskforce