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WORK AI PLATFORM
Platform Overview
Platform Overview BG
Glean Assistant
Your personal AI assistant
All KnowledgeData AnalysisPrompt LibraryDeep ResearchCompanion
Glean Agents
Build and manage AI agents
Agent BuilderAgent OrchestrationAgent LibraryAgentic Reasoning Engine
Glean Search
The foundation of enterprise AI
Hybrid SearchKnowledge GraphCustom Language Models
Connectors
Connect to all company data
Model Hub
Get access to the latest models
APIs
Build generative AI experiences
Glean Protect
Safely scale AI at work
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Secure by design from day one
System of Context
Context powers productivity
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Pradeep Vaghela

Software Engineer
, Glean

About

Pradeep Vaghela

Pradeep Vaghela is an accomplished software engineer with over 15 years of hands-on experience in applied research, product development, and large-scale system design. Currently an engineer at Glean, Pradeep previously held a senior engineering position at Google, where he played a pivotal role in building and scaling the company’s Knowledge Graph Indexing and Search Content Platforms. His expertise spans distributed systems, machine learning, data mining, computer vision, and enterprise search. Pradeep holds a Master’s degree in Computer Science from the University of Southern California. His journey includes crafting high-performance software and leading cross-functional teams at organizations like Read-Ink Technologies and Yahoo!, showcasing his strengths in software architecture, big data, and algorithmic problem-solving. A passionate technologist and mentor, Pradeep excels at the intersection of research and scalable engineering. His diverse programming background covers C, C++, Java, C#, Python, web technologies, cloud computing, and advanced data structures. Throughout his career, he has driven several transformative projects that impacted millions of users worldwide.

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Pradeep Vaghela

Recent posts from

Pradeep Vaghela

How knowledge graphs work and why they are the key to context for enterprise AI
June 27, 2025

How knowledge graphs work and why they are the key to context for enterprise AI

Knowledge graphs excel at multi-hop reasoning, enterprise-specific language, and understanding process or usage patterns, laying the foundation for agentic reasoning engines.

Rob Stets

Rob Stets

Software Engineer

Pradeep Vaghela

Pradeep Vaghela

Software Engineer

Julie Mills

Julie Mills

PMM

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