I'm an Applied AI Engineer who enjoys building intelligent systems end-to-end — from training reinforcement-learning agents to shipping production full-stack web apps. I care about turning research ideas into things people can actually use.
- 🔭 Building an AI Air-Traffic Management System for live flight routing using Reinforcement Learning (PPO) to optimise routes around turbulence and congestion
- 🤖 Creating context-pool, a zero-dependency shared-memory layer that lets multiple LLM agents collaborate without losing context between sessions
- 🌱 Going deeper on Machine Learning, Neural Networks & Reinforcement Learning
- 💬 Ask me about Applied AI, Python, Reinforcement Learning, and full-stack (React/Next.js · Java)
- 📫 Reach me at ahamadfalah.dev@gmail.com
- ⚡ Fun fact: I run on cars, coffee, and gaming
Languages
AI / Machine Learning
Frontend
Backend
Databases & Cloud
Testing & Tools
| Project | Description | Tech |
|---|---|---|
| ai_flight_optimization | RL agent that optimises live flight routes around turbulence & congestion, trained with Proximal Policy Optimization (PPO) in a custom Gymnasium environment. | Python PyTorch Gymnasium Stable-Baselines3 |
| context-pool | Zero-dependency shared-memory system that lets multiple LLM agents (Claude, Claude Code) collaborate safely via an append-only log with atomic file locking. | Python LLM Agents Systems Design |
| Karu-v2 | Production full-stack web app (live on Vercel) with i18n, transactional emails and a full test suite. | Next.js TypeScript Tailwind Supabase |
| Food-Ordering-System | Database-driven food-ordering platform built with an object-oriented Java backend. | Java Servlets/JSP MySQL |
| Depot_System | Parcel & customer depot management system applying core OOP design principles. | Java |
| wedding-reservation-system | Venue booking platform with reviews, reservations and payment flow. | PHP MySQL JavaScript |
📌 More on my repositories page.
