Computer Vision • Deep Learning • ML Engineering • MLOps
I'm a Machine Learning Engineer focused on Computer Vision and production-ready ML systems.
I work across the full ML lifecycle:
- data preparation and analysis
- model training and evaluation
- object detection and image classification
- model optimization and inference
- backend API development
- containerized deployment
- ML infrastructure and monitoring
I build ML systems using PyTorch, TensorFlow, OpenCV, Transformers, FastAPI, Docker, Kubernetes and MLflow.
I also work with classical ML, gradient boosting, LLM/RAG pipelines, multimodal models, recommendation systems and tabular data.
