Palash Goyal

Senior Research Scientist at Google

San Jose, California, United States
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Summary

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Rockstar
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Top School
Palash Goyal is a Senior Research Scientist at Google Cloud AI Research building agentic systems with large language models, drawing on a decade of experience across industrial AI teams. He previously helped develop Amazon’s Nova models on the Responsible AI/AGI Foundations team and led multi-modal video understanding and core ML projects at Samsung Research America. Palash holds a PhD in Computer Science from USC with research roots in graph embedding and network analysis, and his open-source work includes scalable implementations of graph embedding models (e.g., SDNE, node2vec). Based in San Jose, he blends deep research rigor with production-focused ML engineering and continues to recruit interns for LLM research. An often overlooked thread in his career is the continuity from academic graph representation learning to applied multi-modal and agentic LLM systems, enabling cross-pollination of techniques across domains.
code10 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern California
bookB.Tech, Computer Sciences and Engineering, B.Tech, Computer Sciences and Engineering at Indian Institute of Technology, Kharagpur
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Github Skills (4)

machine-learning10
graph-embedding10
keras10
python10

Programming languages (2)

C++Python

Github contributions (5)

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palash1992/GEM

May 2017 - Oct 2022

Role in this project:
userML Engineer
Contributions:1 release, 81 commits, 9 PRs in 5 years 6 months
Contributions summary:Palash contributed to the development and implementation of various graph embedding models, including SDNE, node2vec, and others. They added a more scalable SDNE implementation, modified existing code for better usage, and fixed errors in existing files. The user also updated the test files and added examples to demonstrate the usage of different graph embedding methods.
network-embeddingnetwork-visualizationlink-predictiongraph-embeddingsgraph-embedding
palash1992/YoutubeGraph-Dyn

Jun 2019 - Jul 2019

Contributions:7 commits, 3 pushes in 13 days
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Palash Goyal - Senior Research Scientist at Google