Building end-to-end machine learning systems, from model training to real-world inference.

I design and build applied machine learning systems with a strong engineering focus:

• Model implementation and training (PyTorch, from scratch when needed)
• Dataset handling, evaluation, and failure analysis
• Inference optimization (latency, memory, throughput)
• GPU and embedded deployments (Jetson, edge devices)
• Reproducible and containerized ML workflows

Currently Data Science Manager at ITJ Labs, contributing hands-on to ML system design and execution.

Machine Learning Engineering · Deep Learning Systems · Real-Time Computer Vision
Inference Optimization · GPU & Embedded AI · Linux-based ML Pipelines

Languages: Python · C/C++ · Bash
ML: PyTorch · scikit-learn · NumPy · Pandas
Systems: Docker · Linux · Git
Cloud: AWS · GCP

PhD in Computer Science.
Academic training informs my engineering decisions, with a strong focus on building practical ML systems.

Email: mmontielpz@gmail.com
LinkedIn: https://www.linkedin.com/in/miguel-angel-lopez-montiel/
Hackerrank: https://www.hackerrank.com/mmontielpz