Chengxuan Xia

Resume
career, skills, timeline

Summary

Over 4 years of AI and engineering experience. Proficient in search, recommendation, LLM function design, and full-stack systems. Skilled in real-world data mining, problem solving, and cross-functional collaboration.

Technical Skills

  • Languages: Python, Java, R, Matlab, SQL, JavaScript
  • Frameworks: PyTorch, TensorFlow, Langchain, Pandas
  • Tools: Git, Docker, Spark, AWS, Kubernetes, SageMaker
  • Other: Flask, Selenium, Oracle, Unix/Linux

Professional Experience

GenAI Engineer
Walmart Global Tech · 12/2024 – 12/2025
  • Developed “EndGenius” — AI agent system automating test script generation with Code Copilot.
  • Built routing agent framework for multi-agent orchestration and dynamic expansion.
Co-Founder
SAAI Solution · 02/2024 – 08/2025
  • Founded AI consulting startup delivering privacy-safe, full-stack AI tools to small businesses.
Backend ML Engineer
Petal.org · 09/2023 – 06/2024
  • Led GPT-Trainer project for building customizable chatbot agents with Langchain and RAG.
  • Built Approvo.ai for FDA medical document generation, saving doctors 5+ hours per week.
Capstone Researcher (LLM + Diffusion)
Adobe · 03/2023 – 12/2023
  • Built a prompt-enrichment system to guide non-technical users in text-to-image generation.
ML Engineer
BearHug AI · 06/2023 – 09/2023
  • Developed AutoGPT-style agent for browser-based dynamic web automation using Langchain + Selenium.
ML Software Engineer
Paoding Tech · 09/2019 – 07/2022
  • Trained transformer-based weak supervision labeler for financial document annotation. Saved 6 months of manual work and $20,000.

Education

  • M.S. in Natural Language Processing — UC Santa Cruz (GPA: 3.9)
  • M.S. in Computer Science — UCAS (GPA: 3.7)
  • B.S. in Physics — UCAS
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