I'm Tawanda Mudonhi, an AI/ML Engineer with a passion for building intelligent, data-driven systems. I work across the full stack of machine learning from model development and training to deployment and scalability. My toolkit is built around Python, and I have strong hands-on experience with FastAPI, Docker, PyTorch, TensorFlow, Keras, and cloud-native databases including PostgreSQL, MongoDB, and Firebase.

I believe in writing clean, maintainable code and designing systems that are not only functional but also resilient and production-ready.

• Machine Learning & AI – PyTorch, TensorFlow, Keras, Scikit-learn
• Backend Development – FastAPI, REST APIs, WebSockets
• Data Engineering – Pandas, NumPy, ETL pipelines, feature stores
• DevOps & Cloud – Docker, AWS, CI/CD, container orchestration
• Databases – PostgreSQL, MongoDB, Firebase (realtime + NoSQL)
• Version Control – Git, GitHub, collaborative workflows

• Large language model fine-tuning and RAG architectures
• MLOps practices including MLflow and Kubeflow
• Real-time inference pipelines with Kafka and FastAPI

• Instagram – behind-the-scenes and tech snippets
• LinkedIn – professional journey and insights
• Mailing List – monthly AI/ML deep dives
• Email – direct line for collaboration or questions

"The best way to predict the future is to build it." — Alan Kay