Summary
Sairam Gurajada is an AI scientist and researcher with 11 years of experience building scalable graph, knowledge-base and deep learning systems across industry labs including LinkedIn, Megagon Labs, Apple, and IBM Almaden. He holds a PhD from the Max Planck Institute for Informatics where he led development of TriAD, a prototype RDF/graph querying system, and has published in SIGMOD, ACL, CIKM and IJCAI. His work spans entity resolution, knowledge curation, and AutoAI for text tasks, blending interpretable and black-box ML models to solve practical data-integration problems at scale. Based in San Jose, he pairs academic rigor with product-focused research, and has repeatedly delivered performance-oriented distributed algorithms (e.g., skew-aware ER execution and fast distributed sim-rank) that trade small accuracy for large efficiency gains.
11 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Madras
Jawaharlal Nehru Technological University Hyderabad
PhD Computer Science, PhD Computer Science at Max-Planck Institute for Informatics