AI Engineer building the infrastructure behind reproducible research — from forecasting models to autonomous literature pipelines.
I design and ship research-builder systems: tooling that turns raw data and papers into reproducible, monitorable experiments. My work sits at the intersection of time-series ML, energy systems, and LLM-powered research automation.
- 🔭 Currently building DARIS — an autonomous research workflow engine
- 🛠️ Maintaining TSPLab (forecasting audit & benchmark) and research-claw (AI paper pipeline)
- 🌱 Exploring LLM agents for end-to-end research automation
- 💬 Ask me about forecasting pipelines, experiment reproducibility, and research tooling
| Pillar | What it is | Flagship repo |
|---|---|---|
| AI Research Tooling | LLM agents that mine literature, draft, and orchestrate experiments | research-claw · DARIS |
| Forecasting & Time-Series | Production forecasting pipelines with audit + benchmark | tsplab |
| Automated Research Workflows | Daily arXiv digests, reproducible runs, paper→pipeline | power-papers-daily |
| Experiment Infrastructure | Monitorable, tunable, versioned research stacks | electricity_forecast_model2.5 |
This month I'm building: the autonomous experiment-orchestration layer of DARIS, and tightening TSPLab's benchmarking CLI so every forecast run is auditable end-to-end.
Want a template? Most of my repos ship with CONTRIBUTING.md + SECURITY.md and welcome public PRs.
💡 Open to research-tooling collaborations, forecasting benchmarks, and LLM-agent experiments.
📫 Reach me via GitHub Issues or email.
Status: SAFE MODE Scope: PUBLIC REPOS ONLY Private repo access: BLOCKED Last update: 2026-07-09
| 指标 | 数量 |
|---|---|
| 扫描 public 仓库 | 3 |
| 跳过 private/internal 仓库 | 0 |
| 外部 issue 候选 | 86 |
| 生成 patch 草稿 | 0 |
| 创建公开 PR | 0 |
| 外部评论 | 0 |
- (今日无新增推荐行动 — 见 reports/2026-07-09.md)