Forecasting and operational data platforms
Designing pipelines that normalize varied inputs, support analytical workflows, and turn operational data into useful planning signals.
These are the themes I can discuss publicly: the shape of the problems, the architectural patterns, and the operating principles, without exposing private customer, product, or source-system details.
Designing pipelines that normalize varied inputs, support analytical workflows, and turn operational data into useful planning signals.
Building systems where delivery paths, field conditions, network constraints, and operator clarity matter as much as the application code.
Connectivity patterns for mobile, LAN, cloud, discovery, failover, and devices that need predictable behavior outside ideal network conditions.
Linux, constrained-device operations, receiver workflows, durable updates, and field-oriented runtime design.
Practical automation that documents what the organization learns, lowers recurring load, and keeps humans in control of risky actions.