Backend · Data · Artificial Intelligence
Operating backend, data and AI systems for commercial workflows in the energy sector.
Systems I have to keep useful after deployment, not just finish once.
Service-backed AI layer for lead scoring, consent checks and sales-facing insight generation.
Run commercial scoring and decision support inside stable backend workflows.
Why these systems were built this way, and what that choice bought in operation.
Architecture, merge requests, deployment and monitoring as one engineering lifecycle.
Define service boundaries, data ownership and failure paths before implementation starts.
Every change should explain what moved, why it moved and what operational risk it changes.
Containers, environment boundaries and rollout behavior are treated as part of the feature.
Logs, import failures and AI validation loops decide whether the system is actually healthy.
Not a blog. A logbook of decisions, migrations, fixes and lessons learned.
Documenting the point where code organization stopped scaling with the system.
How production-grade data cleanup differed from a quick script.
Operational lessons from moving LLM workflows into real business processes.
Decision-making under production constraints instead of framework fashion.
How repeated commercial analysis became a reusable system instead of analyst-owned work.
Why trusted structured payloads mattered more than promising extraction percentages.
Public repositories that show the same patterns in code: async workflows, typed APIs, Java architecture and large-scale data generation.
OCR, LLM extraction and strict schema validation exposed as a real API surface.
async extraction pipeline with typed validation
async-task-dashboardFull-stack async task flow with queue-backed execution, polling and explicit task states.
full-stack async flow with queue-backed execution
vertx-hexagonal-templateReactive Java microservice template with ports and adapters, domain isolation and clean service boundaries.
reactive hexagonal architecture with domain isolation
Access points for recruiters and technical reviewers.