AI-powered contract review skill with CUAD risk detection, market benchmarks, and lawyer-ready redlines. Works with Claude Code, Codex, Cursor, and 26+ tools.

A systems-thinking essay that explains why failure rarely happens suddenly. It shows how slow drift, accumulating pressure, and weakening buffers push systems toward collapse long before outcomes change, and why prediction-focused analytics miss the most important phase of failure.

A systems-thinking essay that reframes failure as a gradual transition rather than a discrete outcome. It explains how pressure accumulation, weakening buffers, and hidden instability precede visible collapse, and why prediction-based models arrive too late to prevent failure in human-centered systems.

An interpretable battery health engine that detects hidden points of no return instead of just predicting health %. It models stress, buffer, and degradation intensity, discovers Stable/Drifting/Irreversible regimes via GMM, and learns simple Decision Tree thresholds, with a Streamlit app for diagnostics and what-if scenarios.

Self-evolving minor-user identification agent for anthropomorphic AI interaction, with trigger evaluation, evidence chains, and deployable protection workflows.

AML Checker detection and analysis tools for cryptocurrency transactions using machine learning and blockchain data. Ensuring compliance and reducing money laundering risks.

Crypto AML Vendor Evaluation Checklist & Implementation Guide（Crypto AML 供应商评估 Checklist 与执行指南）

Real-time intent decoding and risk engine for Ethereum wallet interactions powering ENSight’s safety layer.

AI-powered contract analysis tool that extracts clauses, highlights risky terms, summarizes documents, and answers questions using NLP. Built with Streamlit + Python.

A machine learning classification approach for risk detection in battery cell manufacturing

AI-powered legal contract analysis — risk detection, executive summaries, and RAG-powered chat using fine-tuned Legal-BERT + LoRA

Real-time Ethereum wallet interceptor that explains transaction intent, surfaces risk, and adds inline context in the browser.

CONTEXTIQ : AN ADVANCED FRAMEWORK FOR CONTEXTUAL ANALYSIS AND RISK DETECTION

MindfulMe is a privacy-preserving mental health assessment system that performs sentiment analysis, suicide risk detection, and PHQ-9/GAD-7 scoring entirely on the user’s machine. It uses a hybrid pipeline with Hugging Face transformers + TF-IDF Logistic Regression for risk detection.

Enterprise UI for OmniGuard multimodal risk analysis.

Network Sentinel is a modular, protocol-aware port scanner designed for architects, SOC teams, and security engineers. It scans TCP ports across defined targets, flags known vulnerabilities via CVE-style mapping, and visualizes results through a Flask dashboard.

⚖️ AI-powered legal contract risk analyzer. Upload any contract or NDA → AI flags dangerous clauses, missing protections & one-sided terms with plain-English explanations & negotiation advice.

Machine Learning model for SPY market stress detection using 72+ technical indicators