I'm Gerald Addey, an AI Engineer and Full-Stack Developer focused on building intelligent systems, autonomous agents, and scalable digital products. I work across LLMs, backend systems, frontend engineering, and edge AI to create fast, reliable, and human-centered software.
I’m especially interested in bridging software + physical AI systems, including robotics and edge computing platforms like the NVIDIA Jetson Orin.
AI Engineer | Full-Stack Developer | Edge AI Builder | Systems Thinker
- Building AI-native web and mobile applications
- Exploring autonomous agents, multimodal AI, and RAG systems
- Working with edge AI and embedded computing (Jetson / CUDA ecosystems)
- Interested in robotics, real-time systems, and distributed AI
- Passionate about scalable architecture and developer experience
- Open to open-source collaboration and AI infrastructure projects
AI • Robotics • Edge Computing • Calisthenics • Skating • Music • Reading
- Email: geraldaddey@yahoo.com
- LinkedIn: LinkedIn
- GitHub: GitHub Profile
- OpenAI
- Claude
- Gemini
- Hugging Face
- LangChain
- LlamaIndex
- CrewAI
- AutoGen
- DSPy
- OpenClaw
- Model Context Protocol (MCP)
- Vercel AI SDK
- Ollama
- PyTorch
- ONNX
- CUDA
- TensorRT
Experience building and deploying AI models on edge devices for low-latency inference, robotics applications, and offline AI systems using NVIDIA Jetson platforms.
- React
- Vue.js
- Next.js
- React Native
- Quasar Framework
- TailwindCSS
- TypeScript
- Ruby on Rails
- Elixir / Phoenix
- Node.js
- Python (FastAPI, scripting, ML pipelines)
- GraphQL / REST APIs
- Docker
- Kubernetes
- Microservices Architecture
- Event-driven systems
- PostgreSQL
- MongoDB
- Redis
- Firebase
- Supabase
- Vercel
- Railway
- Heroku
- Git & GitHub Actions
- Linux
- Vim / Neovim
- tmux
- Oh My Zsh
- CI/CD Pipelines
- Multi-agent AI systems
- Retrieval-Augmented Generation (RAG) pipelines
- LLM orchestration & tool calling
- Context memory & optimization strategies
- AI workflow automation systems
- Local LLM deployment & inference optimization
- Edge AI deployment (Jetson / CUDA ecosystems)
- Computer vision & multimodal AI systems
- Scalable web & mobile applications
- API design (REST & GraphQL)
- Real-time systems
- Frontend architecture & design systems
- Cross-platform mobile development
- System design & distributed architectures
- Containerized deployments (Docker, Kubernetes)
- CI/CD automation
- Secure authentication & authorization systems
- Performance optimization & system tuning
- GPU-based inference optimization
- Observability & monitoring systems
- Building AI-native startups and intelligent platforms
- Exploring robotics and physical AI systems
- Deploying models on NVIDIA Jetson edge devices
- Researching autonomous agent architectures
- Optimizing local inference with CUDA & TensorRT
- Developing scalable AI infrastructure systems
I’m open to collaboration on:
- AI infrastructure & agent frameworks
- Edge AI and robotics systems
- Open-source AI developer tools
- Scalable full-stack AI platforms
- Embedded intelligence systems
⚡ Always building, always learning, always shipping.