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Peixi Liu

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I’m Peixi Liu, an AI-focused technologist who enjoys turning complex ideas into practical products—whether that’s building LLM-powered support workflows, generating regulation-aware privacy policy drafts, or evaluating…

About

I’m Peixi Liu, an AI-focused technologist who enjoys turning complex ideas into practical products—whether that’s building LLM-powered support workflows, generating regulation-aware privacy policy drafts, or evaluating model quality with rigorous benchmarks. I’ve worked across the full stack of applied AI work: designing intent recognition and multi-agent orchestration, implementing reliable RAG pipelines, and monitoring response quality with automated evaluation.

I’m also comfortable connecting technical research to real-world goals. In prior roles, I analyzed competitive Web3 and hardware security landscapes and translated deep technical concepts into clear content for product positioning and GTM strategy, and I’ve built automation workflows that improved engagement and donation outcomes. I thrive at the intersection of machine learning, software engineering, and product impact, especially when reliability, evaluation, and user experience matter.

  • Joined September 2026

Industry experience

  • Software & Internet
  • Computers & Electronics
  • Professional Services
  • Media & Entertainment
  • Non-Profit Organization

Work experience

Marketing Data Analyst Intern · CrossBar, Inc.Feb 2026 – Aug 2026 · 7 mos

Analyzed 10+ hardware wallet and Web3 competitors and translated ReRAM, SPU, MPC, and hardware security technologies into 18 technical blogs/newsletters and product content to support positioning and GTM strategy. Built CRM and email automation workflows achieving up to 77% open and 62% click-through rates, and executed campaigns generating $20K+ from 140+ donors. Supported growth efforts including 300+ hackathon submissions and reaching 1,000+ attendees across 7 industry presentations.

Android Developer Intern · TK Group (Holdings) Ltd.Jun 2023 – Aug 2023 · 3 mos

Developed the passenger-side of a ride-hailing Android application using Android Studio and Java, integrating Baidu Maps for real-time positioning, route planning, and navigation to improve geolocation accuracy and user experience. Enhanced ride selection using in-city, exact match, and suggested search powered by Elasticsearch and PostgreSQL, and optimized routes based on time, cost, distance, and traffic via Baidu Directions API. Integrated an Office Automation System with FineReport, automating order updates, report generation, and reimbursements through RESTful APIs and MySQL to reduce administrative workload.

Education

M.Eng., Artificial Intelligence (GPA: 3.6/4.0) · University of California, Los Angeles2023 – 2024
B.S. in Math-Computer Science (GPA: 3.6/4.0) · University of California, San Diego2019 – 2023

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