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

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 machine learning classification approach for risk detection in battery cell manufacturing

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.

CONTEXTIQ : AN ADVANCED FRAMEWORK FOR CONTEXTUAL ANALYSIS AND RISK DETECTION

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

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.

Industrial Thesis in Machine Learning for the achievement of Master of Science in Computer Science.

AI-powered construction project monitoring system for Procore - intelligently analyzes daily logs and generates proactive alerts to prevent cost overruns and schedule delays

A complete Android malware analysis system that pulls APKs from a connected device, performs static analysis, generates ML features, predicts malware risk using a trained RandomForest model, and displays everything through an interactive Streamlit dashboard with detailed per-app security insights.