I build AI-assisted systems, network simulations, backend tools, learning apps, and practical utilities.
My strongest work focuses on structured full-stack systems, simulation logic, backend workflows, real-time UIs, and clear public documentation. I use AI coding agents as part of my development workflow, while focusing on architecture, review, debugging, testing where available, documentation, and honest project status.
- Network simulation / systems: UNOC Network Simulator
- Full-stack / backend: uvm
- AI / dashboards: MarketOps-AI
- Practical utilities: win-load-report
- Learning apps: matheheft-digital
- Realtime / game logic: Abalone-Multiplayer
Distributed telecom access-network simulator for NOC-style workflows.
It models real-time topology, optical signal state, provisioning, IPAM, traffic, congestion, and capacity behavior across a Vue/FastAPI/PostgreSQL/Go stack.
Highlights:
- interactive topology canvas with live device/link state
- GPON/AON network modeling
- optical RX power, warning/down states, and fiber path behavior
- traffic generation, capacity limits, congestion, and bottleneck shaping
- FastAPI backend, PostgreSQL, WebSocket updates, and Go services
- documented correctness/performance audit work and demo media
Django-based property management MVP for landlord operations.
Focus areas:
- backend/domain structure
- PostgreSQL, Redis, Celery, Docker
- practical workflows for property, tenant, and operations management
- tests documented in the repository
Paper-trading and AI-assisted market analysis dashboard with structured prompt generation, manual JSON import, forecast tracking, alerts, and simulated portfolio workflows.
Read-only PowerShell CLI for Windows performance, startup, reboot, and network snapshots with TXT/JSON export.
Educational math training app for practicing written calculation methods, with student profiles, exercise flow, feedback, and learning-oriented UI.
Realtime Abalone-inspired board game prototype focused on multiplayer flow, board-state synchronization, and move validation.
- network simulation and NOC-style tooling
- backend/API systems
- real-time frontend state and visualization
- AI-assisted development workflows
- educational tools
- practical utilities
- turning rough prototypes into understandable public repositories
- Python / FastAPI / Django / Pygame / PySide6
- TypeScript / React / Vue / Vite / Pinia
- Go / gRPC / HTTP services
- PostgreSQL / Redis / Celery
- Node.js / Express / Socket.io
- PowerShell tooling
- GitHub, VS Code, and AI coding agents
Most repositories are portfolio projects, functional MVPs, prototypes, or learning systems. I prefer honest project status over inflated claims.