Bilbao, Spain 🇪🇸 | Data Science, Software Engineering & Enterprise Data Management
I operate at the intersection of Data Science, Software Engineering, and Enterprise Data Management.
In 2026, enterprise software and AI systems don't fail from lack of raw model capacity — they fail due to untamed data quality, brittle architecture, and lack of deterministic engineering. I combine rigorous Python software engineering with DAMA-DMBOK data management principles to transform complex data into resilient, scalable, production-grade applications.
- Software & Systems Engineering: Building reliable data-intensive applications, robust APIs and streaming pipelines, runtime data contracts with Pydantic v2, and rigorous test-driven development (
pytest). - Data Science & Modeling: Exploratory data analysis (EDA), statistical inference, predictive modeling, and feature engineering across structured and unstructured industrial datasets (Pandas, NumPy, Scikit-Learn, PyTorch).
- Open Source & Reproducibility: Active collaborator and learner across the data science ecosystem, prioritizing verifiable data quality, thorough documentation, and deterministic testing.
- Enterprise Data Management (CDMP®): Grounded in the DAMA-DMBOK framework — enforcing Data Quality dimensions, Data Governance, Metadata Management, and Master Data Architecture (MDM).
- CDMP® — Certified Data Management Professional (DAMA International):
The global gold-standard certification in enterprise data management and the DAMA-DMBOK (Data Management Body of Knowledge). Specializing in Data Quality metrics, Data Governance frameworks, and Enterprise Data Architecture.
| Domain | Technologies & Frameworks |
|---|---|
| Software & Systems |      |
| Data Science & ML |        |
| Data Governance |     |
| DevOps & Tooling |     |
- 🤗 Space: Data Quality & Governance Audit Agent (DAMA-DMBOK):
Interactive enterprise data profiling and governance compliance engine. Evaluates tabular datasets (CSV, Parquet, JSON) across foundational DAMA-DMBOK dimensions (Completeness, Uniqueness, Validity, Consistency, Integrity, Precision & Distribution) with automated audit reporting and remediation insights. - 📁 Dataset: DAMA-DMBOK Data Quality Benchmark:
Curated benchmark suite with synthetic enterprise master data (Customer 360 MDM, Financial Ledger, Clinical Registries) and a machine-readable data quality rule taxonomy (rules_taxonomy.json) for benchmarking automated data governance agents. - 🛠️ Tool: Data Quality Profiler for smolagents:
Data Quality Profiler Tool published on Hugging Face Hub (Tool.from_hub("iialonso/data-quality-profiler")). Provides deterministic CDMP® / DAMA-DMBOK quality scoring, completeness analysis, primary key detection, outlier isolation, and actionable anomaly reporting for autonomous agents. - 📚 Curated Collections on Hugging Face:
I actively study, benchmark, and contribute to open-source systems in data science and machine learning:
- Quality & Determinism: Prioritizing data integrity, robust typing, and comprehensive test coverage over quick heuristics.
- Respectful Collaboration: Engaging constructively with project maintainers, adhering strictly to community guidelines, and submitting focused bugfixes with regression tests.
- Applied Engineering: Sharing reproducible benchmarks, curated indexes, and reusable tooling for industrial and enterprise domains.
A curated index of canonical, high-impact open-source repositories shaping metallurgical vision, scrap characterization, industrial thermography, enterprise data governance, and high-performance analytical systems:
Canonical Ecosystem Repository:
For the comprehensive, deep directory with architectural diagrams, combustion solvers, and benchmark datasets, explore:
ioseba/awesome-industrial-metallurgy-ai — Awesome list covering Secondary Aluminum Recycling, LWIR Radiometric Thermography, Refractory Computer Vision, and Casthouse IIoT.
Metallurgy, Scrap Metal Characterization & Steel/Aluminum Inspection
| Repository | Discipline | Highlights |
|---|---|---|
| ioseba/awesome-industrial-metallurgy-ai | Flagship Index Awesome List |
Canonical curated catalog of repositories, tools, datasets, and standards for industrial metallurgy, aluminum recycling, thermography, and refractory AI. |
| zichengzichengzi/Scrap_Steel_Image_Dataset | Scrap Grading Object Detection |
Specialized open dataset and annotations for automated scrap steel grading, sorting, and hazardous non-metallic impurity detection. |
| stepanje/MPDD | Metal Parts AD Manufacturing Flaws |
Metal Parts Defect Detection benchmark dataset for computer vision, covering painted, non-painted, and machined metal surfaces with irregular defects. |
| khornlund/severstal-steel-defect-detection | Defect Segmentation Hot-Rolled Steel |
Canonical benchmark implementation for the Severstal steel defect challenge. PyTorch segmentation of pitting, inclusion, and surface roll cracks in continuous manufacturing lines. |
| YeahHuang/Al_surface_defect_detection | Aluminum Defect AI Extrusion & Sheet |
Benchmark vision pipelines for industrial aluminum surface defect classification and segmentation (coating spots, non-metallic inclusions, peeling, and scratches). |
| siddhartamukherjee/NEU-DET-Steel-Surface-Defect-Detection | NEU-DET Benchmark Surface Flaws |
Comprehensive deep learning implementation on Northeastern University's steel surface defect dataset (crazing, inclusion, patches, pitted surface, rolled-in scale, and scratches). |
| spectralpython/spectral | Hyperspectral AI Alloy Classification |
Fundamental Python package for hyperspectral and multispectral image processing, used in automated scrap sorting lines to distinguish non-ferrous aluminum alloys (series 5xxx vs 6xxx). |
| xraypy/xraylarch | XRF / LIBS Spectroscopy Metal Characterization |
Open-source Python library for X-ray fluorescence (XRF) and spectroscopy data analysis, essential for scrap elemental composition and impurity verification. |
| DLR-WR/libskit | LIBS Spectroscopy Alloy Chemistry |
Software toolkit for Laser-Induced Breakdown Spectroscopy (LIBS) spectral processing and fast elemental quantification in inline metal scrap analysis. |
Aluminum Recycling Furnaces, Thermodynamics & Combustion Engineering
| Repository | Discipline | Highlights |
|---|---|---|
| Cantera/cantera | Combustion Kinetics Burner Modeling |
The premier open-source chemical kinetics, thermodynamics, and transport suite. Used for oxy-fuel / air-fuel burner modeling, flame temperature calculations, and NOx emission modeling in melting furnaces. |
| pycalphad/pycalphad | CALPHAD Equilibrium Slag & Dross Chemistry |
Computational thermodynamics for multicomponent alloy phase diagrams. Essential for simulating aluminum-salt flux (NaCl/KCl) interactions, dross formation, and scrap melting thermodynamics. |
| OpenFOAM/OpenFOAM-dev | Computational Fluid Dynamics Combustion & Melt Flow |
The open-source CFD benchmark for simulating turbulent burner combustion, furnace flue gas recirculation, and molten aluminum fluid dynamics. |
| lanl/truchas | Multi-Physics Simulation Metal Casting & Solidification |
Developed by Los Alamos National Laboratory: 3D multi-physics simulation suite specialized in metal casting, fluid flow, heat transfer, and phase-change solidification. |
| CalebBell/ht | Heat Transfer Radiation & Convection |
Comprehensive heat transfer calculation engine. Crucial for refractory wall thermal resistance, shell heat dissipation, and radiation exchange between burner flames and molten aluminum baths. |
| CalebBell/thermo | Chemical Thermodynamics Process Simulation |
High-fidelity pure component and mixture thermodynamic properties library (vapor-liquid-solid equilibrium, enthalpy, and thermal conductivities). |
| oemof/tespy | Thermal Plant Balances Waste Heat Recovery |
Simulation toolkit for mass and energy balances in thermal engineering systems. Ideal for modeling furnace off-gas lines, recuperators, and heat recovery loops in aluminum recycling plants. |
| CoolProp/CoolProp | Thermophysical Properties Flue Gas Fluids |
High-accuracy fluid and flue gas thermodynamic property formulations across extreme temperature and pressure regimes. |
Industrial Computer Vision, Surface Defect Detection & Anomaly Inspection
| Repository | Discipline | Highlights |
|---|---|---|
| open-edge-platform/anomalib | Unsupervised AD PatchCore / PaDiM |
Intel's flagship industrial anomaly detection library. Benchmark algorithms for spotting visual manufacturing defects without requiring vast labeled defect datasets. |
| Charmve/Surface-Defect-Detection | Defect Datasets Metal Inspection |
Canonical global catalog of surface defect detection datasets, deep learning architectures, and papers for steel, aluminum, and ceramic substrates. |
| ultralytics/ultralytics | Real-Time Detection YOLO11 |
The industry standard for high-throughput real-time object detection and instance segmentation on factory floors and scrap sorting lines. |
| facebookresearch/segment-anything | Foundation Models Zero-Shot SAM |
State-of-the-art segmentation foundation model for precise boundary delineation of refractory spalling, cracks, and structural erosion. |
| roboflow/supervision | Vision Utilities Tracking & Polygon |
Reusable computer vision utilities for inference annotation, polygon zone filtering, and object tracking across production camera feeds. |
Thermal Imaging, Radiometric Vision & High-Temperature Monitoring
| Repository | Discipline | Highlights |
|---|---|---|
| LJMUAstroecology/flirpy |
Radiometric IR FLIR Cores
|
Python library for programmatic control of FLIR cameras and extraction of raw radiometric temperature arrays ( |
| SanNianYiSi/thermal_parser |
Radiometry IR Metadata
|
Lightweight parser for radiometric temperature matrix reconstruction and emissivity correction from raw thermal images. |
| OpenThermal/libseek-thermal |
Thermal SDK LWIR Sensors
|
Open-source driver and SDK for Seek Thermal compact long-wave infrared (LWIR) camera cores. |
| ESA-PhiLab/PyRawS |
Thermal Anomalies Hotspot Detection
|
Algorithmic toolkit for high-temperature surface thermal anomaly detection, active wildfire/hotspot radiance tracking, and saturation handling. |
Industrial IoT, OPC-UA & Telemetry Sensor Fusion
| Repository | Discipline | Highlights |
|---|---|---|
| FreeOpcUa/opcua-asyncio | OPC-UA AsyncIO Telemetry |
Modern asynchronous OPC-UA stack in Python for bi-directional communication with industrial PLCs, furnaces, and plant SCADA systems. |
| frangoteam/FUXA | Web SCADA HMI / Dashboard |
Open-source web-based process visualization and SCADA/HMI software supporting OPC-UA, Modbus, MQTT, and Siemens S7. |
| Serial-Studio/Serial-Studio | Telemetry Viz Multi-Sensor Bus |
High-performance multi-platform real-time telemetry dashboard for serial, CAN bus, Modbus, and MQTT industrial data streams. |
| taosdata/TDengine | Industrial Time-Series IIoT Database |
Purpose-built, high-throughput time-series database engineered for high-frequency sensor readings, pyrometers, and furnace telemetry. |
Enterprise Data Governance & Data Quality (CDMP® Alignment)
| Repository | Discipline | Highlights |
|---|---|---|
| OpenMetadata | Metadata Lineage Discovery |
Open Context Layer offering end-to-end data lineage, active data governance, automated data contracts, and unified team collaboration. |
| DataHub | Data Catalog Observability |
LinkedIn-originated stream-based metadata platform designed for high-scale enterprise search, data mesh topologies, and compliance tracking. |
| Great Expectations | Data Quality Automated Testing |
Industry benchmark for declarative data validation, automated pipeline assertions, and living data documentation (Data Docs). |
| OpenLineage | Data Lineage Open Standard |
Standardized framework for collecting operational runtime lineage metadata across Airflow, Spark, dbt, and modern orchestrators. |
| Soda Core | Data Contracts SodaCL |
Developer-friendly declarative data contracts engine and quality monitor integrated directly into transformation pipelines. |
High-Performance Data Engines, Analytics & Visualization
| Repository | Discipline | Highlights |
|---|---|---|
| DuckDB | Embedded OLAP Vectorized SQL |
Fast, in-process analytical SQL database engine with zero external dependencies; the canonical "SQLite for Analytics" for fast local & object storage querying. |
| Polars | Rust DataFrames Out-of-Core |
Blazingly fast multi-threaded columnar DataFrame library built in Rust, leveraging memory locality and lazy query evaluation. |
| Apache Arrow | Columnar In-Memory Zero-Copy |
The global cross-language substrate powering high-throughput in-memory data processing, interoperability, and analytical compute. |
| dbt-core | Analytics Engineering Data Modeling |
The foundational standard bringing software engineering rigor (git, testing, CI/CD, documentation) to SQL-based data transformations. |
| Apache Superset | Enterprise BI Exploratory Viz |
Highly scalable, modern enterprise business intelligence and data visualization platform supporting any SQL dialect. |
Modern AI Systems & Edge Inference Engines
| Repository | Discipline | Highlights |
|---|---|---|
| openvinotoolkit/openvino | Edge AI Intel Inference |
Intel's toolkit for optimizing and deploying deep learning models with ultra-low latency on industrial edge hardware and IPCs. |
| microsoft/onnxruntime | Cross-Platform ML Hardware Acceleration |
Universal runtime for accelerating PyTorch and ONNX models on CPU, CUDA, TensorRT, and edge NPUs. |
| vLLM | LLM Inference PagedAttention |
High-throughput, memory-optimized serving engine with continuous batching for production self-hosted LLM deployments. |
| LiteLLM | AI Gateway Proxy & Governance |
Enterprise AI gateway unifying 100+ LLM backends behind an OpenAI-compatible interface with load balancing, rate limiting, and cost controls. |
| Transformers | Foundation Models PyTorch / JAX |
The definitive library for downloading, training, fine-tuning, and evaluating state-of-the-art vision, audio, and language models. |
Interested in collaborating on open-source data infrastructure, enterprise data governance, or high-throughput computer vision systems?
