Case Studies
Deep-dives into hard problems. Implementation secrets omitted by design — the judgment is the point.
Beating the Pirates: A Custom Content-Protection Protocol for a Closed Video Platform
Off-the-shelf DRM failed and cost too much. So I designed a custom content-protection protocol for a closed video platform — 20,000+ users, 5–10k concurrent, and it still holds today.
Read case study →Event Sourcing at Scale Soon
Event-sourced DDD microservices in Go & NestJS — a transactional-outbox publisher with Postgres advisory-lock leader election, a Neo4j graph read model, and a custom ABAC/RBAC IAM module.
Coming soonA Conversational AI That Books Jobs Soon
A multilingual conversational-AI SaaS built solo in Go — RAG knowledge base, a ReAct tool-calling agent with pricing/booking tools, and content-safety guardrails, lead to booking.
Coming soonAbout
I'm a senior backend engineer with a Solutions Architect background and hands-on production AI/LLM experience. I've built the hard parts of modern backends — event sourcing, CQRS, the transactional outbox pattern, Kafka pipelines, CDC, and durable workflow orchestration — and shipped them across microservice platforms.
Earlier I was the founding engineer and Solutions Architect of a secure video LMS, scaling it to tens of thousands of users. My range runs frontend / mobile / desktop → architecture → distributed backend → AI, but backend and distributed systems are where I do my deepest work.
I care about systems that are correct under load and observable when they aren't. I'm open to senior backend roles — Go, Node.js, or a stack worth learning. Remote-friendly.
Core
- Distributed systems & event-driven architecture
- Microservices · DDD · CQRS · Event Sourcing
- Apache Kafka · outbox · CDC
- PostgreSQL · Neo4j · Redis
- AI/LLM · RAG · tool-calling agents
- Docker · Kubernetes · OpenTelemetry
Get in touch
Open to senior backend / AI-backend roles. Remote-friendly.