05Learning Map — updated July 3, 2026

Where I'm
headed.

A CV tells you where someone stands today. This page is about direction: what I'm studying now, what comes next, and the lessons building real systems has already taught me. The stories behind it live in the notes.

01Learning now
01

Agentic systems in production

My whole practice runs on them — orchestration, guardrails, failure modes, and the documentation discipline they force.

In practiceClaude-based agents + scheduled triggers operating live business workflows, daily.

02

Large-scale SQL & data modeling (Databricks)

Client platform work: reconciling multi-source device fleets into one KPI model that people act on.

In practiceReal workloads — window functions, medallion layering, curated views, parity harnesses.

03

BSc Computer Engineering

The fundamentals — algorithms, operating systems, networks — that make what I build less accidental.

In practiceCoursework, applied immediately to whatever I'm building that week.

02Up next
01

Distributed systems fundamentals

The gap between 'works on one VPS' and 'works at scale' is where senior engineers live.

02

PostgreSQL performance internals

HoraCerta is growing — query plans and index strategy stop being optional.

03

Short-form technical video

Same lessons, new medium — the distribution layer for everything written here.

03Built, and what it taught me
01

Production analytics & KPI platform

LessonData reconciliation is 80% of the work. The dashboard is the easy part.

02

Booking SaaS live in production (HoraCerta)

LessonSupport and onboarding teach you more about your software than building it did.

03

Browser extensions for operations teams

LessonThe best UI is inside the tool people already have open.

04

AI-operated business workflows

LessonAgents amplify process quality — vague SOPs in, confident garbage out.