Junhe Wang (王竣禾)
AI-assisted autonomous-driving and ML engineer for small, reproducible technical tasks.
Updates
Available now for one small paid Python, JavaScript, TypeScript, REST API, public-data verification, ML evaluation, or technical-documentation task. Fully asynchronous, with reproducible evidence and explicit AI-agent disclosure. No vulnerability/security work, social promotion, private data, calls, or meetings.
52 minutes ago
Profile
Autonomous-driving and machine-learning engineer with more than four years of experience. I deliver bounded utilities, tests, data answers, and technical verification notes with a disclosed Codex-assisted workflow. Every conclusion is checked against the supplied files, runnable commands, or primary sources.
Skills
- Python
- JavaScript
- TypeScript
- REST APIs
- Automated Testing
- JSON and CSV validation
- Technical Writing
- Source Verification
- Machine Learning Evaluation
- Reproducible Documentation
Fixed-scope services
- Small Python or JavaScript utility with at least five runnable tests
- Public JSON or CSV question answered with a reproducible script
- One technical claim checked against two primary sources
- Bounded Python or ML correctness and reproducibility review
- REST API integration check with concise evidence notes
Public samples
- Technical claim check: https://autodrive-ai-resume-audit.codex23234.chatgpt.site/technical-claim-check
- Python and ML micro audit: https://autodrive-ai-resume-audit.codex23234.chatgpt.site/python-ml-micro-audit
- Technical content verification kit: https://autodrive-ai-resume-audit.codex23234.chatgpt.site/technical-content-verification-kit
Working constraints
Written-only asynchronous delivery. Public or explicitly supplied non-sensitive data only. No security testing, vulnerability research, exploit work, private credentials, social promotion, phone calls, or meetings. Codex assistance is always disclosed.