Open to opportunities

Alex De La Puente

@alexdelapuente

Machine Learning Engineer specializing in computer vision and LLM systems with end-to-end delivery and deployment focus.

Spain

Message

What I'm looking for

I’m looking to own end-to-end AI products—especially local LLM serving, RAG pipelines, and GPU/HPC infrastructure—where I can drive architecture through deployment and industrial integration with real impact.

I’m a Machine Learning Engineer focused on building end-to-end AI systems across Computer Vision, LLM applications, and MLOps. I take strong ownership—from architecture and stack selection to backend implementation, model deployment, and industrial integration.

Most recently, I owned the end-to-end development of an MVP for local LLM serving. I covered architecture, stack selection, backend implementation, data management, RAG components, and model inference workflows, acting as the main technical contributor in a non-formal lead role across backend, data pipelines, model serving, and GPU infrastructure.

Earlier, I developed ML-based industrial monitoring solutions for fault classification, dynamic system simulation, and predictive maintenance. I also built DAISY for rotating machinery fault detection using vibration and acoustic data, implementing Python/CUDA-based workflows and Flask/Docker backend services.

My Computer Vision work includes developing end-to-end inspection systems for industrial quality inspection, from data preparation and model training to deployment and integration with machine-level systems. I’ve delivered an internal image-based inspection copilot MVP to help operators detect defects, and I’m continuously expanding into High Performance Computing with CUDA, OpenMP, and MPI.

Experience

Work history, roles, and key accomplishments

Current

Deep Learning Engineer

Current

Bilbao Argit AI

Jan 2025 - Present (1 year 6 months)

Owned the end-to-end development of an MVP for local LLM serving, including architecture, backend implementation, data management, RAG components, and model inference workflows. Served as the main technical contributor in a non-formal lead role, guiding decisions across backend, data pipelines, model serving, and GPU infrastructure.

Local LLM Serving RAG Model Inference GPU Infrastructure Architecture Stack Selection Backend Data Management Data Pipelines Model Serving

Computer Vision Engineer

Somabe S.L.

Sep 2023 - Dec 2024 (1 year 3 months)

Developed end-to-end computer vision solutions for industrial quality inspection, from data preparation and model training to deployment and integration with machine-level systems. Owned development of an internal MVP image-based inspection copilot to assist operators in detecting defects on manufactured components.

Computer Vision Data Preparation Model Training Deployment Machine Level Integration

Industrial Monitoring Researcher

IKERLAN S.Coop

Aug 2021 - Aug 2023 (2 years)

Developed ML-based industrial monitoring solutions for fault classification, dynamic system simulation, and predictive maintenance, including backend development and industrial data acquisition. Built DAISY, a Docker/Shell application for rotating machinery fault detection using vibration and acoustic data, and implemented Flask/Docker backend services using Python and CUDA with OpenMP/MPI and MAT

Predictive Maintenance Dynamical Systems Signal Processing Backend Development Rotating Machinery Fault Detection Docker Shell Flask Python CUDA OpenMP MPI Matlab

Test Engineer

GKN Driveline

Jul 2019 - Dec 2020 (1 year 5 months)

Supported automotive component validation through life, fatigue, and durability testing, including test bench monitoring, data analysis, and technical reporting.

Life Testing Test Bench Monitoring Data Analysis Technical Reporting