Research & engineering

Systems I have built to study agents, evaluate their behavior, and support real workflows.

FarField

Python 3.11 · standard library

A reproducible research loop, from a question to an experiment.

Problem
Turning a broad topic into a falsifiable hypothesis and a registered, two-arm experiment protocol.
Implementation
Built a local workflow in which the model proposes claims and scripts, while graph checks, prior-art checks, dataset binding, and experimental arithmetic remain ordinary Python.

OpenClaw Security Suite

TypeScript · Node.js · Vitest

Security infrastructure for a tool-using agent gateway.

Problem
Making agent actions inspectable and skill execution subject to explicit policies.
Implementation
A persistent audit-event store with signed integrity checks; rule-based alerts across webhook, Slack, Discord, and Telegram; a configurable skills sandbox; and a security dashboard with eleven permission-scoped RPC methods.

IntelliSelect

FastAPI · React 19 · vLLM · Docker

An auditable assistant for faculty recruitment pre-screening at HKUST (Guangzhou).

Problem
Combining evidence from multiple sources while keeping recruitment decisions with people.
Implementation
Integrated five-dimension scoring with a self-hosted Qwen3-14B model, deterministic matching rules, and Google Scholar peer-group benchmarking in a full-stack application.

Agentic RAG & Memory Systems

PyTorch · Hugging Face · Faiss · Milvus

Evaluation and data pipelines for agents working across long contexts.

Problem
Understanding information-recall failures, context drift, and task-level memory needs.
Implementation
Built a long-context, cross-topic retrieval benchmark and enhancement pipeline, and converted browser-agent trajectories into task-level SFT data.