About Me
Current Work
Technical Lead — AI Architecture & Engineering Delivery
Jobdream · Consulting engagement
Guide technical direction for Jobdream’s platform, which uses AI agents to help small marketplace businesses manage their operations, working with external engineering teams.
- Evaluate engineering vendors and review proposed system architecture against product requirements.
- Review pull requests and external engineering teams’ implementations for reliability, security, maintainability, and alignment with the intended agent architecture.
- Make technical acceptance decisions on outsourced deliveries and identify issues to address before production deployment. The CEO retains final business approval.
Founder — Investment Education Community
- Built a YouTube audience that peaked above 9,000 subscribers and remains above 7,500 as of September 2026.
- Offered a private Telegram community at $30/month, sharing investment perspectives and teaching members to use code to explore investment questions.
- Reduced activity as I reconsidered the value of the offering in light of increasingly accessible AI tutoring.
What this experience taught me about building
Independent Game Developer
Developing an indie game using agent-assisted workflows, currently focused on refining its core mechanics. The project explores storytelling as a way to express my philosophy.
What’s Next
Interested in joining an ambitious early-stage team to build software, take responsibility for delivery, and contribute to product decisions.
Earlier Engineering Experience
UCLA — VCLA Summer Research Intern
Center for Vision, Cognition, Learning, and Autonomy · July–September 2019
- Improved a ROS-based glove interface for real-time hand-pose tracking and interaction in the MuJoCo physics engine.
- Developed autoencoder-based methods for hand-pose reconstruction.
- Later carried the idea of latent representations into image-reconstruction research published at USENIX Security 2023.
- Undertook credit-bearing coursework as a registered UCLA summer student alongside the internship.
USTC — Undergraduate Researcher
August 2018–January 2020
- Led reference-frame generation algorithm development in a four-person team working on underwater video compression.
- The project achieved 28% BD-rate savings and placed second in the Water Bottom Video Challenge 2018.
Education
North Carolina State University — Ph.D., Electrical Engineering
2021–2025 · Successfully defended in summer 2025.
Research in machine learning, distributed training, communication efficiency, and privacy.
University of Science and Technology of China — B.E., Electronic and Information Engineering
2016–2020
University of California, Los Angeles — Summer study
July–September 2019 · Credit-bearing research alongside the VCLA research internship.
Selected Recognition
- Graduate Award, NC State — recurring annual recipient through 2025.
- USENIX Security Student Grant — 2023.
- ICML Participation Grant — 2022.
- UCLA CSST Scholarship — 2019.
- Third place, International Youth Leadership Finance Summit competition — 2019. Team project incorporating AI tools into an online tutoring platform.
- Tang Lixin Scholarship — 2018. Privately funded by entrepreneur Tang Lixin; annual award of RMB 10,000.
- China National Scholarship — 2018. Top 1% distinction.
- Second place, Water Bottom Video Challenge — 2018. Underwater video compression project with HEVC.
Selected Research
My background includes machine learning research at NC State University, with work on distributed learning, communication efficiency, and privacy. Publications include ICML 2022, USENIX Security 2023, and ICML 2025.
