Hi, I'm Josh Zhang - Founder at Mnexa AI
I am passionate about turning the chaos of raw data into reliable, autonomous agent action. I thrive in high-stakes environments where hardware constraints meet software scale, architecting systems that truly move.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed deep technical expertise in computer architecture and embedded systems at Princeton and the University of Washington.
Currently leads Mnexa AI, focusing on transforming complex data pipelines into autonomous, actionable intelligence for cloud workflows.
Can help teams optimize software-hardware integration and architect high-performance data workflows for complex AI agent systems.
🚀 Career trajectory
Software Engineer at Google
Cloud Workflows and Data Platform
✦ Cloud Engineering
✦ Data Pipelines
Founder Phase
Building e2a and agentdrive to power autonomous agent systems.
✦ Founder
✦ AI Agent Systems
💪🏻 Superpowers
Systems Architecture Architect
Engineering robust frameworks that bridge low-level infrastructure systems and high-level AI.
Algorithmic Logic Designer
Applying rigorous computational foundations to solve complex data challenges.
✦ Leveraged C++, Go, and Python to build resilient algorithmic infrastructure.
✦ Applied statistical modeling to enhance real-time decision-making systems.
✦ Translated intricate digital circuit logic into software-defined solutions.
Technical Founder Strategy
Guiding teams through the lifecycle of rapid product innovation.
✦ Steered academic research teams to translate complex data into practical tools.
✦ Defined product vision for AI agents within technical environments.
✦ Facilitated collaborative growth across distributed engineering and hardware teams.
I'm excited about
✦ Exploring emerging AI frameworks and agent-based design patterns with fellow founders.
✦ Connecting with technical leaders to benchmark infrastructure scalability strategies.
✦ Identifying collaborative research opportunities to push the boundaries of automated workflows.
I can help with
✦ Advising on building performant data pipelines for resource-constrained AI agents.
✦ Infrastructure system with scalability in mind.
✦ GCP, Cloud Run, Cloud SQL, BigQuery
I would love your help on
✦ Connecting with early-stage go-to-market advisors experienced in AI infrastructure products.
✦ Learning best practices for scaling agent-based distributed systems in production environments.
✦ Meeting potential collaborators for research-driven technical prototyping and system validation.