Gaurav Gupta
Chief Technology Officer
Fremont, California, United States
Actions
Technology Executive @ NUAAV | Ex-Adobe, ZoomInfo | TEDx Speaker | 3X Serial Entrepreneur | ML Professor | 6 US Patents | TV Show Tech Finalist | Startup Canada Visa Entrepreneur | 40 under 40 | Angel Investor
Gaurav is a full-stack scientist delivering production-grade generative AI solutions with proven track record of ~80% process optimization and ~30% cost reduction. At Granicus, he architects scalable data platforms handling 20+ government data sources with complex identity resolution, pioneering autonomous agent mesh architectures that achieve 80% task completion without human intervention.
Key Innovations:
Advanced neural-symbolic architectures for enterprise document synthesis
Novel hallucination prevention systems with real-time knowledge verification
Behavioral verification frameworks for AI agent operational security
Custom model engineering: Distilled enterprise models achieving 85% Claude performance at 10% cost
Enterprise Impact:
Deployed Graph-RAG Knowledge Graphs with 92% precision, 90% recall, <3% hallucination rate
Architected microservices supporting 10M+ concurrent users with 99.99% uptime
Multi-cloud data processing: 10M+ events/minute with real-time streaming architectures
Area of Expertise
Topics
Granicus Case Study: Building a Zero-Copy Data Mesh with Dremio's intelligent semantic optimization
The Challenge
Granicus (14 acquisitions, 5 countries) struggled with fragmented government data across 14+ sources: Salesforce CRM, EHQ MySQL, Matomo streams, GovD Oracle, Open Cities scraping, and more. Needed unified citizen analytics with regulatory compliance.
Technical Solution
🧠 Nessie Catalog + Generative AI
Iceberg metadata format with AWS S3 auto-reflections
OpenSearch knowledge base for context-aware AI responses
⚡ Advanced Semantic Layers
Complex multi-domain models with automated reflection optimization
Query times: minutes → milliseconds through intelligent materialization
🗣️ Dremio MCP NLP-to-SQL
"Show housing meetings with >100 attendees last quarter" → Instant SQL
Government-trained language models with optimal query generation
📊 Dashboard Architecture
Highcharts integration via Dremio REST APIs
Intelligent caching for sub-second UI responses
Real-time citizen engagement metrics
🔄 Zero-Copy Pipeline
Staging → Business → Application layers (DBT + Iceberg)
14+ sources unified without data movement
Live Demos:
NLP query: "Find legislation about housing with citizen feedback >8"
Real-time reflections optimization
Highcharts dashboard with live government KPIs
REST API caching performance comparison
Results:
95% faster time-to-insight
60% cost reduction through reflections
300% increase in self-service adoption
Takeaways:
Nessie + Iceberg configuration guide
NLP-to-SQL with Dremio MCPs
Highcharts-REST API integration patterns
Reflections optimization playbook
Experience instant citizen insights through plain English queries powered by Dremio's zero-copy architecture and intelligent semantic optimization.
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