James Xie

I get you patents that matter

Houston, Texas, United States

About

As a patent agent, I consider myself as part storyteller, part strategist. As a story-teller, I craft evidence-based tales that help teach people why something is correct. As a strategist, I predict future scenarios where others may try to infringe on the essence of the technology without duplicating the trivial and avoidable specifics of the story. These days, my stories are about blockchain technology, natural language processing, and wireless communication technology.

Experience

  • Foley & Lardner LLP (Full-time · 2 yrs 2 mos)
    • Associate
      Oct 2024 - Present · 1 yr 9 mos

    • Law Clerk
      May 2024 - Oct 2024 · 6 mos

  • Perkins Coie LLP (Part-time · 2 yrs 11 mos)
    • Patent Agent
      Aug 2021 - May 2024 · 2 yrs 10 mos

    • Patent Agent
      Jul 2021 - May 2024 · 2 yrs 11 mos

  • Patent Agent at Pillsbury Winthrop Shaw Pittman LLP
    Jun 2019 - Aug 2021 · 2 yrs 3 mos

    • Drafted 70+ patent applications (46 non-provisional patent applications) in wireless technology, natural language processing, and blockchain technology • Wrote 25+ USPTO office action responses and 20+ continuation applications • Brought 23 applications to allowance • Provided claim mapping support for litigation matters • Initiate project to study 35 USC 101 response effectiveness • Start and guide intern development project to automatically generate enumerated embodiments

  • Patent Agent at Gilliam IP PLLC
    Dec 2016 - Jun 2019 · 2 yrs 7 mos

    • Drafted 5 patent applications in IT field (security, distributed applications, applied machine-learning) • Drafted 40+ patent applications in subsurface technologies (devices, sensors, simulations, machine-learning in industrial applications) • Responded to 200+ USPTO Office actions, prosecuted 15+ applications to allowance

  • Research Assistant at Texas A&M University
    Nov 2014 - Oct 2016 · 2 yrs

    Mathematical modeling of fracture propagation in rock mechanics, modeling team • Developed mineral image recognition and analysis techniques using Python • use machine learning to recognize different types of minerals and automate trend-finding • Modify and apply C++ based PDE solvers to micromechanical fracturing models • Act as liaison between A&M research team and Berkeley National Labs