Josie Z.

About Josie Z.

I am the Founder & CEO of Griting Inc, building an human capital mentorship ecosystem that integrates human intelligence, agentic AI system, and community growth.With a background as a PhD researcher in AI at Dartmouth and former systems engineer at Supermicro (SMCI), I combine deep technical expertise in computing, optimization, and distributed systems with hands-on entrepreneurial execution.As a lifelong learner with a multidisciplinary background — from education, history and computer science to AI — I am passionate about solving real-world problems through research-driven solutions and helping others benefit from technology with precision and humanity.Mission:To empower professionals worldwide to upskill, transition, and grow in the AI era — guided by world-class mentorship and the adaptive AI operating systems.Strengths:Fast execution • 0-to-1 builder • Experimental design • Hands-on implementation • Purpose- and passion-driven with practical solutions, systematic design and product design. Business execution. Innovation Product Designer.Selected ProjectsGithub1. Full-stack LLM Demo (vLLM) • Developed an end-to-end demo pipeline using vLLM on CPU and GPU. • Optimized vLLM for CPU-only environments with custom memory management and batch scheduling. • Deployed LLaMA-based models with REST API and real-time front-end; achieved responsive performance in resource-constrained settings.2. Simulation & Optimization System • Built a benchmarking framework to evaluate cost-effective LLMs (API vs. open-source). • Identified bottlenecks in AI infrastructure: API cost, concurrency throughput, and cache-layer performance. • Proposed cache-aware solutions for scalable multi-user environments.3. Algorithm Design (Multi-Agent RL) • Designed adaptive scheduling algorithms for multi-agents based on reinforcement learning and feedback loops. • Explored agent collaboration mechanisms for efficient task allocation and decision optimization.4. Resource Orchestration Library (C++/ Multi-Agent Systems) • Developed a high-performance C++ library for agent-level resource orchestration and dynamic scheduling. • Implemented modular components enabling multi-agent collaboration, dynamic task dispatching, and efficient memory scheduling. • Integrated concurrency primitives and async task queues to achieve real-time responsiveness under heavy workloads.

Experience

1. Founder Griting Building Ai Talent Capital for Everyone

   Griting

   Sep 2025 — Present · CA, US

   Founded Griting, an AI-native talent capital company building an evidence-driven “trust layer” for talent decisions in the AI era. We help companies/orgs evaluate and develop talent using auditable, AI native systems to adaptive the AI era.1. Built multi-agent systems to assess talent readiness, capability growth and role-fit using auditable evidence chain (behavior, outputs, dynamic performance, feedback loops).2. Designed a global mentorship network that strengthens human connection and long-term development through memory-enabled workflows and depth trust (embedding physical AI system with growth + empathy + accountability)3. Launched three intelligence systems(individual / team / organization) to quantify and abstract talent development—supporting enterprise AI transformation and incubation programs.4. Bridged “human capital → measurable outcomes” by translating qualitative potential (curiosity, clarity, empathy, passion, ownership, learning velocity) into structured decision artifacts for hiring, promotion, incubation,governance and long-term human capital reconstruction.

Education

• Ohlone College

  Computer Science

• Shaanxi Normal University

  Master's degree, Subject Teaching(History)

• Northeastern University

  Master of Science - MS, Computer Science

• Dartmouth College

  Doctor of Philosophy - ECE, Artificial Intelligence

• Palo Alto Networks Cybersecurity Academy

  Palo Alto Networks Cybersecurity, Cybersecurity

• Shaanxi Normal University

  Bachelor's degree, History

• Mission College

  Computer Science