Fullstack Machine Learning Developer passionate about building end-to-end AI-powered solutions and cross-platform applications with a focus on performance, scalability, and user experience.
- Languages & Frameworks: Python, TensorFlow, Keras, PyTorch
- Data Engineering: Pandas, NumPy, scikit-learn, SQL
- Model Deployment: Docker, Kubernetes, FastAPI, Model Context Protocol (MCP)
- Generative & Retrieval-Augmented AI: RAG pipelines, LangChain, custom LLM integrations
- Frontend: Next.js, React, TypeScript
- Backend: Node.js, Express, FastAPI
- Databases & APIs: PostgreSQL, MongoDB, RESTful & GraphQL APIs
- DevOps & CI/CD: GitHub Actions, Docker, AWS / GCP deployments
- Flutter & Dart: Cross-platform UI/UX, custom animations, widget libraries
- State Management: GetX, Provider, Bloc
- Backend Integration: Firebase (Auth, Firestore, Functions), RESTful services
- Version Control: Git, GitHub, GitFlow
- Project Management: Jira, Trello, Confluence
- Documentation & Prototyping: Jupyter Notebooks, Figma
- Continuous Testing: Jest, pytest, integration tests
- Advanced NLP architectures and custom LLM fine-tuning
- Scalable microservices with MCP and real-time event processing
- 🐦 Twitter: @derrick_tab1
- 🔗 LinkedIn: derrick-zziwa
I’m open to contributions, partnerships, and innovative ideas—especially in AI/ML, web/mobile development, and scalable architectures. Feel free to open an issue or send a PR!
Inspired by a passion for technology that transforms lives.



