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Network systems and machine learning professional, passionate about engineering challenges. I do care about client's work as if it was my own business. My professional interests include (but are not limited to): telecommunication engineering, mobile networks evolution and development, network software development, data science, machine learning Examples of areas, activities, technologies and tools I am experienced in: * Telecommunications - GSM/UMTS/LTE/5GNR - mmWave - RF planning and optimization - network software development - wireless R&D - MATLAB - system testing * Software engineering and machine learning - Python and R - Golang and C++ - Probability and statistics - Pandas, Numpy, Sklearn - Tensorflow, Keras, Pytorch, Fast.ai - Regressions, decision trees / random forests, gradient boostings (LGBM, XGBoost, Catboost), clustering, time series analysis, SVMs, bayesian methods - APIs, Flask, SQL and NoSQL (MongoDB) - GCP, AWS, Linode

I’m a Computer Science professional with over 10 years of experience building and maintaining production-grade systems in data-intensive environments. My background combines backend engineering, system integrations, and spatial data platforms. I’ve designed and implemented APIs, automated data pipelines, containerised deployments, and scalable GIS infrastructures used in international and national initiatives. Beyond geospatial systems, my core expertise lies in: Designing robust backend architectures Integrating heterogeneous systems via APIs and OGC services Automating data ingestion and processing workflows (Python, Bash) Debugging complex production issues Deploying and maintaining Docker-based environments Managing spatial and relational databases I have led and contributed to international projects with the Inter-American Development Bank (IDB) and national platforms handling large-scale spatial-temporal data. My work often sits at the intersection of software engineering, data pipelines, and applied systems architecture. I enjoy stepping into complex technical environments, mapping how data flows across systems, and turning fragile setups into stable, scalable solutions. If you need someone who understands both infrastructure and data, and can take ownership of integrations end-to-end, I’d be glad to collaborate.

- I specialize in R and its scientific ecosystem, particularly the tidyverse. - I also have extensive experience with Fortran, especially for performance-intensive tasks. - With more than 12 years working with academic documents in LaTeX, I’ve contributed to theses, research papers, and scientific publications. - I’m skilled at optimizing scientific code, improving both execution time and memory usage through profiling and efficient algorithm design. - I believe that clear and consistent communication is key to delivering top-quality work—let’s keep the conversation going! - My combined expertise in R and Fortran allows me to develop robust, efficient solutions for applications ranging from statistical modeling to numerical simulations. -N8N: My combined experience in programming and editing allows me to build clear, efficient, and reliable automations. I create smart workflows using n8n, designed specifically to meet real business and project needs.

Linux user since 1993 and networking fan since 1996, skilled in both areas, worked with many companies in telecom and finance areas doing everything from php web development to networking design and implementation to voip softswitch development to trading bot design and coding to bgp debugging for local and national ixp.

I am a Senior Automation & Integration Engineer with 20+ years of experience designing, implementing, and operating enterprise integration and automation solutions across heterogeneous environments. My background combines traditional enterprise middleware with modern low-code / no-code automation platforms, allowing me to bridge legacy systems with cloud-native and SaaS ecosystems. I have extensive hands-on experience working with IBM Integration Bus, IBM App Connect Enterprise (ACE), IBM MQ, and IBM DataPower, delivering reliable, secure, and scalable integration architectures. In parallel, I have led and executed integrations using Oracle Service Bus (OSB) and Oracle SOA Suite, applying enterprise integration patterns, message mediation, and service orchestration best practices. On the open-source and API management side, I have deep expertise with WSO2 Enterprise Integrator / Micro Integrator and WSO2 API Manager, including gateway configuration, policy enforcement, mediation flows, data services, and API lifecycle management. More recently, I have focused on automation and workflow orchestration using n8n and make, building end-to-end workflows that integrate APIs, SaaS platforms, webhooks, and AI-driven processing. This combination of enterprise-grade middleware and agile automation tools enables me to deliver efficient, maintainable, and business-oriented integration solutions. I am strongly focused on reliability, performance, and observability, with solid experience in troubleshooting, JVM tuning, message flow analysis, and production support across complex integration landscapes.

I help companies design and implement scalable Industrial IoT and AI architectures that connect devices, data platforms, and operational systems into reliable, production-ready ecosystems. I specialize in building modern Industry 4.0 infrastructures using technologies such as MQTT, Unified Namespace (UNS), LoRaWAN, and real-time data architectures, ensuring that solutions are not only functional but scalable, maintainable, and ready for long-term evolution. With more than 20 years of experience working across industrial environments, automation systems, and data-driven technologies, I focus on helping organizations avoid common failures that occur when IoT and AI projects move from pilot to production. What I Do I design and implement architectures that allow industrial data to flow reliably from sensors and edge devices to analytics, AI models, and business decision systems. My work bridges OT and IT environments, enabling companies to unlock the full value of Industry 4.0 initiatives. Core Expertise 🔹 Industrial IoT Architecture & Industry 4.0 Design End-to-end Industrial IoT system architecture Unified Namespace (UNS) design and implementation MQTT and event-driven architecture design ISA-95 aligned data and system structuring OT/IT integration strategies Vendor-neutral architecture consulting Industry 4.0 roadmap development 🔹 AI & Machine Learning for Industrial Systems Predictive maintenance solutions Anomaly detection and process optimization AI-ready data pipeline design Edge AI deployment strategies Industrial analytics and operational intelligence 🔹 LoRaWAN & Industrial Connectivity LoRaWAN network planning and deployment Low-power distributed sensor architecture. Gateway and infrastructure design Smart monitoring and telemetry solutions Connectivity strategy for remote and large-scale deployments 🔹 Industrial Data Platforms & Real-Time Architectures Real-time data streaming solutions SCADA, MES, ERP and cloud integration Industrial data modeling and structuring Event-driven and publish/subscribe architectures Data governance and reliability design 🔹 Monitoring & Operational Intelligence Grafana dashboards and observability solutions Real-time industrial monitoring systems KPI definition and performance analytics Alerting and operational insight platforms Problems I Help Companies Solve Many organizations contact me when they experience challenges such as: • IoT pilots that cannot scale to production • Fragmented industrial data across multiple systems • Poor interoperability between platforms • Lack of structure in industrial data models • AI initiatives without reliable data pipelines • Connectivity challenges in distributed environments • Legacy architectures limiting innovation I help redesign or build systems that eliminate these limitations while preparing infrastructure for future growth. My Approach My methodology combines technical execution with strategic architecture design. Every solution I design aims to be: ✔ Scalable from pilot to enterprise deployment ✔ Platform and vendor independent ✔ Designed for long-term maintainability ✔ AI-ready and data-driven ✔ Aligned with real operational workflows I focus strongly on reducing technical debt and preventing costly redesigns later in the lifecycle of Industry 4.0 projects. Industries I Work With Manufacturing & Smart Factories Energy & Utilities Smart Cities & Infrastructure Environmental Monitoring Logistics & Supply Chain Industrial Automation How I Work With Clients I support organizations at different stages of their digital transformation: • Early architecture design and strategy • Validation of existing IoT and AI solutions • Full solution design and implementation • Technical mentoring and team enablement • Long-term advisory and architecture governance I am comfortable working with both startups building new platforms and enterprise teams modernizing legacy industrial systems. Additional Background Beyond consulting, I actively contribute to the Industrial IoT ecosystem as: • University professor teaching IoT and AI technologies • Author of The Practical IoT Handbook • Organizer of The Things Conference Argentina These roles allow me to stay continuously aligned with emerging technologies and real-world industrial challenges. Technologies & Standards Industrial Protocols & Architectures MQTT | Sparkplug B | OPC-UA | Unified Namespace | ISA-95 IoT & Connectivity LoRaWAN | Edge Computing | Sensor Integration | Embedded Systems Cloud & Data Platforms AWS IoT | Azure IoT | Real-Time Streaming | Industrial Data Platforms AI & Analytics Machine Learning | Predictive Analytics | Edge AI | Data Engineering Monitoring & Visualization Grafana | Observability Systems | Industrial Dashboards Let’s Build Scalable Industry 4.0 Solutions