Building production-grade machine learning systems with strong systems and performance focus.
I design and build applied machine learning systems with a strong engineering focus:
- Model development and evaluation using PyTorch
- Dataset handling, validation, and failure analysis
- Inference optimization (latency, memory, throughput)
- GPU and embedded deployments (Jetson, edge devices)
- Reproducible and containerized ML workflows
Languages: Python · C/C++ · Bash
ML: PyTorch · scikit-learn · NumPy · Pandas
Systems: Docker · Linux · Git
Cloud: AWS · GCP
PhD in Computer Science, applying research principles to the design and deployment of practical ML systems.
Email: mmontielpz@gmail.com
LinkedIn: https://www.linkedin.com/in/miguel-angel-lopez-montiel/