Ziliang Huang

Cofounder, Product & Engineering @Visva

Santa Clara, CA, US
EMAILS
j•••@visva.com
MOBILE NUMBERS
+12•••••••90

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WORK HISTORY

Sep 2015 — Present

Cofounder, Product & Engineering @Visva

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San Francisco, CA, US

Built and scaled AI-powered platform from zero to 1M+ users, raising $13M. Own product strategy, AI systems architecture, and partner ecosystem.• Architected multi-agent pipeline (ASR → LLM → TTS → lip-sync) with real-time orchestration layer managing task routing, state management, and inter-model coordination• Built API-driven platform enabling partners to deploy custom agentic workflows; achieved 2× engagement across tens of thousands of active members• Created self-optimizing recommendation agent (patented) with embedded A/B testing; drove 3× engagement lift• Building agentic RAG system for healthcare customer—AI scribe and patient assistant grounded in medical records

EDUCATION

1997 — 2000

Tianjin University

Master of Engineering (M.Eng.), Signal and Information Processing

2014 — 2015

USC Marshall School of Business

Master of Business Administration (MBA), General Management

1993 — 1997

Tianjin University

Bachelor of Engineering (B.Eng.), Electrical, Electronics and Communications Engineering

SKILLS

Trade ComplianceHardwareLean ManagementCross-Functional Team LeadershipHardware DevelopmentTestingAgile MethodologiesManagementProgram ManagementStrategyLteProduct ManagementHardware ArchitectureProject ManagementVoipIpEthernetLeadshipWirelessLine ManagementTelecommunicationsEmbedded SystemsEntrepreneurship

ABOUT ZILIANG HUANG

I build AI products that scale.As Co-Founder at VISVA, I grew an AI platform from zero to 1M+ users while raising $13M. I\'ve shipped multi-agent pipelines, RAG-based assistants, and patented recommendation systems—work that sits at the intersection of AI architecture and product strategy.What I bring: technical depth in multi-model orchestration, experience scaling platforms with 3× engagement gains, and a background shipping complex AI systems from zero to production.Exploring AI Product leadership roles where I can own strategy and scale platforms serving large user bases.

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