Research prototype for trace-based observability and failure analysis in retrieval-augmented generation.
Autonomous AI research team: write a plan.md, spawn agents, train, verify, and deliver a clean ML repo.
Reproducible Python platform for methane-oriented sensor streams, statistical change detection, drift analysis, SQLite persistence, FastAPI, Docker, CI, and benchmark evaluation.
C++/Python microstructure research engine for event-driven limit order book prediction and reproducible quantitative experiments.
A gated memory layer for trustworthy AI-assisted research workflows.
Real-time TUI for monitoring cloud GPU training instances
Automates hermetic environments (macOS/HPC) to eliminate drift. Provisions offline RAG (Gemma 2), compiles LaTeX manuscripts, and indexes local knowledge. Unifies infrastructure, writing, and inference into a single, audit-ready artifact.
Skill中间件架构：AI时代研究能力的工程化封装（以固定收益研究为例）
A Codex plugin that reduces over-design, hidden failure, and evidence inflation in research engineering.
Research-engineering portfolio: LLM evaluation, RAG, RLVR/post-training, machine learning, Rust systems, data engineering, and reproducible computation.
Agent-guided coding interview prep for any role: training workflows, original exercises, Python test helpers, and VS Code setup for industrial, algorithmic, and ML interviews.
Gated research harness: commit and submit gates, provenance, cluster submission — the scaffolding with the project removed
Public portal and research gateway for an edge-first AI research system spanning agent research, evidence engineering, research infrastructure, digital archaeology, and deterministic knowledge lifecycles.
Selected LLM, NLP, retrieval and vision-language research-engineering projects.
Factor-aware, physics-guided road-surface intelligence | 因子感知与物理引导的路面状态识别、摩擦可供性估计与可复现实验
A closed one-person research lab on crypto perpetual-futures microstructure, June to September 2026. No edge found.
From-scratch diffusion models research repo. Implements DDPM, DDIM, ODE samplers, UNet with attention, LoRA, EMA, CFG, and original adaptive sampling research. Includes paper summaries, math derivations, benchmarks, and experiments.
Reference model for managing state, intent, evidence, provenance, and execution in long-running agent-assisted research engineering.
Evidence-first A-share bottom-position and intraday-T research: leakage controls, risk filters, transaction costs, rolling OOS validation, and audit governance.
Event-driven quantitative research evidence engine with real-data risk studies, leakage-safe execution, corrected inference, and reproducible reports.
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