Sairam Gurajada
AI Scientist Engineer at LinkedIn
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolSairam Gurajada is a senior research scientist at Megagon Labs, driving research at the intersection of knowledge curation, graph data management, and deep learning for scalable data integration. He previously advanced research at Apple and IBM Almaden, focusing on entity resolution, multi-attribute linking, and linking mentions to canonical knowledge graph representations, as well as AutoAI for model selection and tuning. He earned a PhD from the Max Planck Institute for Informatics, where he led scalable management and querying of large labeled graphs and helped prototype the TriAD RDF/Graph system. His work has been published in top venues like SIGMOD, ACL, CIKM, and IJCAI, demonstrating a strong blend of rigorous research with practical impact. Based in San Jose, California, with roughly a decade of experience across academia and industry, his interests span databases, graphs, and deep learning. An additional notable detail is that during his MPI internship he developed a distributed sim-rank algorithm achieving 10x speedups with only 2% accuracy loss, underscoring his proficiency in scalable graph algorithms.
10 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology MadrasJawaharlal Nehru Technological University HyderabadPhD, Computer Science, PhD, Computer Science at Max-Planck Institute for Informatics
Github Skills (6)
entity3
wordnet3
sentence-similarity2
linker2
nlp2
entity-linking1
Programming languages (1)
Github contributions (3)
sairamgv/sairamgv.github.io
Nov 2017 - Dec 2021
Contributions:57 pushes, 1 branch in 4 years 1 month
sairamgv/triad-rdf
Feb 2018 - May 2019
Contributions:3 commits, 4 pushes, 1 branch in 1 year 3 months
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