I build integration-ready software systems that connect enterprise applications, data platforms, and intelligent automation — from REST APIs and distributed backend services to AI-powered logistics solutions.
I'm a Software, Data & AI Engineer, with a unique dual background in operational logistics and modern software engineering. I design and build integration-ready backend systems, enterprise APIs, data platforms, and intelligent automation solutions that solve real operational challenges across logistics and business environments.
My experience spans developing scalable applications with Python, Java, Docker, PostgreSQL, and distributed architectures, integrating external systems through REST APIs, and building production-grade solutions that connect software, data, and operational workflows. From warehouse logistics platforms and document automation to AI-powered decision systems, I enjoy translating complex business requirements into reliable, maintainable software.
I approach engieering with a product + systems mindset: understand the operational problem first, design scalable integrations, validate rigorously, and deliver solutions that create measureable value for both technical and non-technical users. I'm particularly passionate about warehouse technology, systems integration, data engineering, and applying AI where it genuinely improves real-world operations.
A selection of software, systems integration, data engineering, and AI solutions built to solve real operational and business challenges.
End-to-end logistics platform for truck arrivals, warehouse operations, shipping, stock allocation, and automated invoicing. Designed using Domain-Driven Design and Hexagonal Architecture with event-driven communication between bounded contexts, role-based security, and real-time warehouse workflows.
Real-world warehouse automation solution developed to solve an operational label identification challenge at an H. Essers warehouse. The system combined OCR, fuzzy matching, and backend services, progressing from internal validation to successful on-site acceptance testing with both technical and non-technical warehouse stakeholders.
Enterprise document automation platform that processes CMRs, invoices, and delivery notes into structured data for downstream Transport Management Systems. Built with modular FastAPI services, OCR, validation pipelines, retry mechanisms, and containerized deployment for scalable logistics operations.
Distributed streaming platform for monitoring high-frequency industrial sensor data using Kafka, Spark Structured Streaming, and Elasticsearch. Built scalable ingestion, anomaly detection, REST APIs, and operational dashboards for real-time observability.
Self-correcting Retrieval-Augmented Generation system built as a LangGraph state machine with intelligent retrieval, query rewriting, relevance grading, and provider-agnostic LLM support.
Production-grade AI platform converting financial PDFs into validated structured data with OCR, PII masking, audit logging, confidence scoring, and human-in-the-loop review for regulated banking environments.
AI-powered startup evaluation platform that simulates venture capital analysis through structured LLM reasoning, automated scoring, and configurable decision workflows.
Context-aware conversational assistant using semantic vector search, multi-domain knowledge retrieval, and automated Azure deployment through GitLab CI/CD.
Building software, integrating systems, and solving operational challenges across logistics, enterprise platforms, and intelligent automation.
Carbon Group · Antwerp, Belgium
Contentwise BV · Antwerp, Belgium
Nalantis · Antwerp, Belgium
Fatgbems Petroleum Company · Lagos, Nigeria
West African Fenders Ltd. · Lagos, Nigeria
I'm open to full-time opportunities and ambitious engineering projects across Software Engineering, Systems Integration, Data Engineering, Intelligent Automation, and Applied AI. If you're building technology that solves real operational problems, I'd love to connect.