Frankly FORGED

Curious and Drive

I'm Frank, a logistics technology intrapreneur based in The Netherlands. Since 2011, I've been digitizing port and hinterland operations—from building Fleet Management Systems and Barge Operating Systems to developing Port Community Platforms. I founded Cofano's Ho Chi Minh City office, where I introduced their port community platform and led the rollout of the company's products and brand across Vietnam. In 2025, I was brought in to establish QEWI, an AI/ML venture focused on solving complex optimization challenges in intermodal transportation networks.

My technical toolkit centers on Python, LLM applications, linear algorithms, and geospatial network analysis—all applied to real-world problems in port, barge, rail, and truck logistics. Currently, I'm developing AI-powered analytics platforms for terminal operators, logistics planners, and port authorities. Outside of work, I enjoy exploring datasets and building applications that push the boundaries of what's possible in logistics intelligence.
Interested in collaborating? Let's connect.

Frank Landheer - Frankly Forged

The "Forged" Philosophy

Like steel under the hammer, solutions are forged through iterative refinement. From raw data to production-grade intelligence platforms

Design

Design

Understanding data sources and designing valuable storage solutions. Data modeling, schema design, multi-tenant architecture, ETL pipeline planning, and API integration mapping for AIS feeds, weather data, and waterway infrastructure.

Skills: Data Architecture, Schema Design, ETL Planning, API Integration
Technology: MySQL (OLTP), S3/Spaces, Data Lakes, Star Schema, Parquet

Develop

Develop

Building robust data pipelines and analytics capabilities. Real-time AIS processing, berth detection algorithms, route clustering (TDIBC methodology), geospatial computations, and feature engineering for predictive models.

Skills: Data Engineering, Geospatial Analytics, Algorithm Development, Feature Engineering
Technology: Python, GeoPandas, Pandas, PyArrow, Shapely, scikit-learn

Deploy

Deploy

Delivering reliable platforms with monitoring and scalability. Container orchestration, auto-scaling configuration, database replication, backup strategies, and observability dashboards for multi-tenant SaaS operations.

Skills: Cloud Infrastructure, Container Orchestration, Database Operations, Monitoring
Technology: Kubernetes, Docker, PostgreSQL, ClickHouse, Prometheus, Grafana, Redis

Featured Projects

Barge Insights

Planned Release, April 2026

Positional Intelligence for Inland Waterways
Real-time vessel tracking with statistical noise reduction and predictive gap-fillingBargeInsights solves a fundamental data quality problem in inland waterway AIS: positional noise and reception gaps create unreliable tracking data that makes operational planning difficult.

Port Pulse

Planned Release, May 2026

Automated Maritime Intelligence Digests
Port Pulse transforms unstructured operational data into structured intelligence narratives tailored to specific roles: terminal operators need throughput trends, fleet managers need vessel utilization metrics, port authorities need congestion patterns.

TEU-N

Planned Release, June 2026

We built a feature engineering pipeline that transforms raw position data into analytical features . Think of it as building a data warehouse specifically for barges which we can utilise for AI/ML models for your barge operations. Merging operational data from Barge Operator, Shippers or Terminals with our market data to offer commercial, operational and financial insights.