The left hemisphere. Frameworks, logic, and certainty architecture. Home of FSVE, AION, LAV, ASL, GENESIS, TOPOS, and 60+ epistemically validated frameworks built to make AI systems reliable, not just capable.

A comprehensive Infrastructure as Code (IaC) repository designed to automate the lifecycle of network security operations.

VelocityAI is an intelligent architecture analysis tool that provides instant, structured feedback on system designs. Built for architects, engineers, and technical leaders who think at high velocity but need comprehensive validation of their architectural decisions.

a modern operating system written with a Odin microkernel and Rust higher superstructure.

Autonomous quantitative trading execution framework for MetaTrader 5, built with an AI-augmented approach. Designed for strategy evaluation, risk management, and low-latency execution, with real-time monitoring and alerting capabilities.

High-performance data pipeline and insights engine designed to ingest, normalize, and analyze large-scale financial datasets. Built with a data-driven and AI-assisted approach to enable scalable analytics and pattern detection.

A real-time, zero-disk AST parsing engine. Streams GitHub repos into RAM via the REST API to calculate deterministic complexity metrics (Halstead, Cyclomatic, Maintainability Index) on the edge. Built with FastAPI, React, Monaco, and Tree-Sitter. Deployed across a decoupled Vercel/Render architecture using real-time Server-Sent Events (SSE).

A polyglot (Rust/Python/C#) local intelligence engine that bridges the gap between human activity and digital memory. monday-kernel utilizes Windows API hooks to track focus, OpenAI Whisper for live meeting transcription, and a Hybrid GraphRAG architecture (Neo4j + ChromaDB) to provide semantically aware retrieval of personal knowledge.

Edge-based AI for real-time patient monitoring. Implements decentralized anomaly detection (Z-score) on SBCs to bypass cloud latency. Patent-pending architecture.

A modular, plugin-based AI platform for Precision Farming. Integrates YOLOv8 Computer Vision, IoT sensor telemetry, and GPS-driven historical weather data to provide hyper-local crop diagnostics. Designed for Edge-AI deployment.