Hi, I'm Pufan Jiang - Staff Software Engineer at Google
I am passionate about bridging the gap between raw data and intelligent action. I thrive in environments where distributed systems meet modern AI, focusing on building high-performance query engines and infra.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led core engine development at Google over a seven-year tenure within the engineering organization.
Focuses currently on building sophisticated graph query engines and agentic infrastructure for distributed data systems.
Offers deep technical expertise in database performance, architectural design, and infrastructure scaling strategies.
🚀 Career trajectory
Foundational Growth
Spent early tenure at Google building core product foundations and scaling internal technical knowledge.
✦ Core Engineering
✦ Platform Development
Technical Specialization
Transitioned into senior roles focusing on database internals and complex query performance optimization.
✦ Database Internals
✦ Optimization
Current Staff Impact
Driving the strategic direction for graph-based data infra and agentic systems at the Staff Engineer level.
✦ Architectural Leadership
✦ Agentic Systems
💪🏻 Superpowers
Scalable Infrastructure Architecture
Designing high-performance data systems for massive throughput
✦ Architected core query engine optimizations for global distributed databases.
✦ Engineered low-latency data access patterns for complex graph-based workloads.
Agentic Data Orchestration
Bridging autonomous agents with enterprise data ecosystems
✦ Developing frameworks that allow agents to interface directly with graph structures.
✦ Pioneering new standards for autonomous interactions within structured databases.
Technical Engineering Leadership
Guiding complex, cross-functional engineering execution
✦ Led multi-quarter technical roadmaps for core Spanner query engine components.
✦ Mentored senior engineers in designing resilient, production-grade distributed codebases.
I'm excited about
✦ Exploring cross-industry applications of agentic infrastructure beyond standard database operations.
✦ Engaging with technical visionaries to discuss the future of distributed data systems.
✦ Identifying unique collaborative opportunities that leverage specialized graph database expertise.
I can help with
✦ Providing expert guidance on designing scalable, high-performance distributed database systems.
✦ Advising startups on the architectural trade-offs when implementing complex graph query engines.
✦ Reviewing technical roadmaps for companies building agentic-driven data retrieval frameworks.
I would love your help on
✦ Connecting with peers working on the next generation of LLM-integrated data infrastructure.
✦ Gaining insights into the challenges of scaling agentic workflows in diverse production environments.
✦ Participating in deep-dive discussions about emerging database paradigms and query optimization strategies.