I’m an undergraduate AI Engineering student driven by curiosity and creativity in the field of artificial intelligence. I focus on building practical, efficient, and meaningful AI projects that blend deep learning and reinforcement learning techniques with real-world applications.
- Machine Learning & Deep Learning
- Reinforcement Learning (Gymnasium, PPO, DQN)
- Computer Vision & Perception
- Fine-Tuning Local Language Models (LLMs)
- Efficient Model Training & Deployment
- Python and R Programming
- 🏎️ Self-Driving Car Agent — PPO-trained agent in CarRacing-v3 using visual inputs
- 🧠 Local AI Assistant — Custom LLM companion using Gemma + Unsloth
- 🚦 Smart Traffic Controller — RL-driven traffic light simulation in Python
- 📊 Academic R Toolkit — R solutions and visualizations for coursework
- Advanced RL algorithms & Gymnasium wrappers
- Japanese language and pop culture 🇯🇵
- Local model fine-tuning & prompt engineering
- AI deployment on limited hardware (CPU-first mindset)
- Reinforcement learning projects
- Vision or simulation-based AI systems
- Fine-tuned personal assistant LLMs
- GitHub: @Edward-Eughene-Timothy
“Build, experiment, and learn — the AI way.”