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Jinao Wang

Computer Science & Mathematics Student, Quantum Computing Researcher

jinao [dot] wang [at] duke [dot] edu
(***) ***-1162
Durham, North Carolina
Contact via LinkedIn for full details

Professional Experience

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Open Source Contributor

OpenAI

2024
RemoteOpen Source
  • Contributed to OpenAI's core codebase, focusing on improving model inference performance and reliability
  • Collaborated with world-class AI researchers and engineers on cutting-edge machine learning infrastructure
  • Implemented optimizations that reduced model loading time by 15% across distributed training pipelines
  • Participated in code reviews and technical discussions for advancing AI safety and efficiency initiatives
  • Gained deep insights into large-scale AI systems, distributed computing, and production ML workflows
  • Notable contribution: GitHub PR #755

Student Researcher

Duke Quantum Center

Oct 2024 — Present
Durham, North CarolinaResearch
  • Conducting 2-year research project on quantum error correction algorithms
  • Working on Concatenated Steane Code with multi-flag qubit syndrome checks
  • Attending weekly meetings with graduate students and PhD researchers
  • Discussing latest papers in quantum computing and contributing to research discussions
  • Combining computational methods and mathematics to optimize quantum algorithms

Startup Founder

Pond - Agentic AI Tools

Dec 2024 — Present
Durham, North CarolinaEntrepreneurship
  • Founded AI startup developing agentic AI deep-thinking tools
  • Built AI Agent managed thinking board with advanced logical chains and organization
  • Implemented MCP framework and complex decision-making tactics
  • Certified by Y-Combinator and invited to YC-AI Startup School
  • Enabling users to edit and change plans collaboratively with AI agents

Student Researcher

National Talent Program

2022 — 2023
Beijing, ChinaResearch
  • Created deep learning model for burn wound detection with 92% accuracy
  • Constructed and labeled 1,000+ burn wound images for original dataset
  • Collaborated with local hospital to build comprehensive skin burn dataset
  • Project ranked national top 30 for selection into China national ISEF team
  • Paper accepted by International Conference on Computing & Data Science

Student Researcher

UCSB Research Mentorship Program

Aug 2023
Santa Barbara, CaliforniaResearch
  • Conducted quantum computing project on variational quantum state preparation
  • Worked on XXZ Heisenberg model for quantum algorithm development
  • Programmed and constructed quantum ansatz circuits
  • Self-learned quantum mechanics and linear algebra concepts within one week
  • Published research as preprint on arXiv: arXiv Paper