Projects and areas of work
This page groups the technical work published on this site by subject area. Each block links to detailed documentation in the blog. It is not a list of closed projects or a commercial portfolio: it is a conceptual map of verifiable technical material. For the full catalog of articles sorted by date, see the Blog section.
Area 1 — Mathematical optimization and routing
Applying operations research to real logistics network problems: time windows, vehicle capacity, operating costs and service constraints. Day-to-day work with OR‑Tools, routing heuristics and mathematical programming models on real operating data from cold-chain pharmaceutical distribution.
Published technical material
- →uRoutes: excellent routes without fighting the map (yes, with heuristics)Routing heuristics and an OR‑Tools engine applied to TMS operations..
- →Beyond the Hype: How Artificial Intelligence and Operations Research Are Optimizing Logistics Flow TodayThe distinction between machine learning solutions and genuinely combinatorial problems where OR is still the right tool..
- →uRoutes video library (Silodisa)Visual resources on the operating ecosystem: WMS, TMS, routing and driver app modules.
Area 2 — Software engineering for logistics
Designing and building reproducible systems with data traceability, version control and testing. Integration across ERP, WMS, TMS and CRM through auditable APIs. Usual stack: Python, SQL, Google Cloud, FastAPI, Docker, agent-assisted development environments (Cursor, Zed, Google Antigravity).
Published technical material
- →The Architecture of Zero Friction: Why Logistics Needs Autonomous AgentsProject Mandax: asynchronous cognitive channels and multi-agent orchestration (FastAPI, LangGraph, OR-Tools) to eliminate operational WMS/TMS screens. Article in English..
- →Cursor, Zed and Antigravity: strengths and contrasts for building logistics softwareA comparative analysis of three AI-assisted development environments applied to real supply chain software problems..
Area 3 — Data governance and traceability
Designing lineage, validation and cross-system reconciliation practices so that executive dashboards answer to a single source of truth. Documentation of assumptions, acceptance criteria and reconstruction of decision chains back to the original data point.
Published technical material
- →The algorithm of truth: why data governance is the only salvation in logisticsWhen operational definitions are fragmented across systems, the most sophisticated models produce parallel truths..
- →Data traceability in supply chain decisionsMinimal snapshots and reconstructing a data point’s chain back to the decision that originated it..
Documented operational application
- →Real-Time Logistics: Why 30-Day Averages Are Killing Your Supply ChainOperational KPIs versus lagging measurements in pharmaceutical distribution..
- →From Measurement to Action: How KPIs and Continuous Improvement Define Our Logistics Excellence.
- →The importance of proof of delivery in logistics: ensuring a perfect deliveryDocumentary support for the POF (Perfect Order Fulfillment) metric in real operations.
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