I design and deploy production-ready AI/ML systems — from model training through to live API deployment. With 10+ years of engineering discipline from top VFX studios (DNEG, MPC, The Mill), I bring a quality-first mindset to every AI project.
What's included:
- End-to-end MLOps pipelines with Docker, GitHub Actions CI/CD, and Model Registry
- RAG/LLM systems using embeddings, chunking, and prompt engineering
- Computer Vision models (CNN, VGG-16, object detection, transfer learning)
- Flask & API deployment for scalable ML inference
- Experiment tracking, hyperparameter tuning, and model evaluation
- Full source code + deployment documentation handoff
Tech stack: Python · TensorFlow · Keras · Docker · Flask · GitHub Actions · Scikit-learn · MySQL · RAG Pipelines · LLM Fine-tuning · Stable Diffusion
Live project demos available on request.