Professional experience and skills (EN).
Summary
Backend first engineer and former process owner in manufacturing. I design durable internal platforms, data pipelines, and floor-facing tools that reduce variance and make operations predictable.
Architecture choices prioritize performance per CPU and RAM, clear ownership, and simple paths to observe, debug, and evolve.
Results include improved on time delivery, higher throughput on critical products, and steady reductions in human error.
Selected projects
Global Manufacturing Operations Platform
Context: Large life sciences manufacturer with multi-site operations.
Architecture: Modular FastAPI services with PostgreSQL, SQLAlchemy, and JWT auth. Vue 3 with Quasar for operator UIs and leader dashboards. Materialized views and indexing for sub-minute operational reads. Structured logging and health probes for supportability.
Impact: Used daily by a global internal user base across five sites. Backlog shortened, on time delivery improved, high-margin product throughput increased, and manual transcription errors reduced.
Operational Data and Reporting Stack
Context: Heterogeneous sources across manufacturing, QC, and equipment services.
Architecture: Orchestrated Python pipelines with incremental upserts, schema-first transforms, and well-scoped jobs. SLAs set by operational need. Views precomputed for the most frequent questions. Everything observable and testable.
Impact: Millions of records processed per month with predictable freshness. Floor teams and managers get reliable live views and daily rollups without heroics.
Visual Management at the Edge
Architecture: Lightweight web apps for Kanban and Kamishibai. Clear work states, WIP limits, and operator-friendly screens. Simple APIs that reflect the process, not hide it.
Impact: Faster handoffs, fewer missed steps, and tighter alignment between manufacturing, QC, and maintenance.
