Javier Luengo
@javierluengo
I build Python ML systems, synthetic 3D data pipelines, and real-time computer vision applications.
What I'm looking for
I've built production ML-powered services at ORGA AI, delivering FastAPI systems for low-latency real-time inference, streaming architectures, and async pipelines with response latency below 300ms.
Across Iberdrola, Ericsson, TecBrain, Everis-NTTdata, Visual Datic, and Dattechs, I've designed cloud-ready backend architectures, CI/CD workflows, ETL pipelines, infrastructure automation, monitoring dashboards, and REST APIs. My work reduced manual operational workload by 35% at Ericsson and spans AWS, Azure, Docker, Kubernetes, Ansible, PySpark, SQL, and NoSQL systems.
Through ArqueoBytes and Keramorph, I combine machine learning, computer vision, geospatial analysis, photogrammetry, Blender, and procedural generation to create reproducible synthetic-data workflows from acquisition through deployment and monitoring.
Experience
Work history, roles, and key accomplishments
Founder & Machine Learning Researcher
ArqueoBytes
Jun 2020 - Present (6 years 2 months)
Designed AI solutions combining ML, computer vision, geospatial analysis and 3D workflows. Developed end-to-end ML pipelines from data acquisition to deployment and monitoring, using MLflow, DVC and containerized environments.
Senior Python Developer – ML Systems
ORGA AI
Jul 2025 - Mar 2026 (8 months)
Built and deployed production-grade ML-powered services using FastAPI for low-latency real-time systems. Designed streaming architectures and optimized async pipelines to reduce response latency below 300ms.
Python Software Architect
Iberdrola (Viewnext)
Feb 2025 - Jul 2025 (5 months)
Designed and implemented cloud-ready architectures for scalable backend and AI systems. Built CI/CD pipelines with GitLab and SonarQube, and led Docker and Kubernetes-based deployment strategies.
Backend Developer – Python
Ericsson (Intive)
Sep 2022 - Nov 2024 (2 years 2 months)
Automated operational workflows using Python, reducing manual workload by 35%. Built internal tools for network operations and monitoring, and designed Grafana dashboards for system behaviour and SLA compliance.
BackEnd Developer - Python
TecBrain
Jun 2021 - Aug 2022 (1 year 2 months)
Developed ETL pipelines for SQL/NoSQL databases, including MS SQL Server and OLAP systems. Designed and automated data transformation workflows for daily processing and built reporting systems for business metrics.
BackEnd Developer - Python
Everis-NTTdata
Feb 2021 - Jun 2021 (4 months)
Worked with PySpark for large-scale data processing in Santander UK. Ensured data integrity and consistency during migration processes and contributed to Big Data pipelines and distributed data transformations.
BackEnd Developer - Python
Visual Datic
Dec 2020 - Feb 2021 (2 months)
Applied TensorFlow, Keras, and R to analyze large-scale sales data. Developed models to detect patterns in pharmaceutical sales and built tracking and feedback analysis systems for user behaviour.
BackEnd Developer - Python
Dattechs
Feb 2020 - Oct 2020 (8 months)
Developed REST APIs using Flask for production applications (Plannifai). Designed relational and NoSQL databases (MariaDB, MongoDB) and implemented backend logic for data-driven applications.
Education
Degrees, certifications, and relevant coursework
UNED
Master's, Big Data & Data Science
2021 - 2022
Master's in Big Data & Data Science from UNED, with a thesis on applying machine learning for osteological identification in archaeology.
thePowerMBA
Master of Business Administration, Business Administration
2021 - 2022
MBA from thePowerMBA, focusing on business administration.
Rovira i Virgili University
Master's, Archaeology
2014 - 2016
Master's in Archaeology from Rovira i Virgili University and Sorbonne University, with a thesis on photogrammetric techniques for morphometric analysis of large mammal fossils.
Availability
Location
Authorized to work in
Website
javierluengo.esPortfolio
arqueobytes.esJob categories
Skills
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