[ Technical profile ]

Technical

A broad technical foundation for products, platforms and distributed systems: architecture, engineering, delivery, performance and operations.

This is a working map of the technologies and practices I bring to complex delivery. It spans the stack from domain boundaries and algorithms to interfaces, data, infrastructure and production feedback — with the flexibility to learn the context around a new problem.

Architecture & design

Designing systems that can evolve

Domain-Driven Design (DDD)
Hexagonal / Clean Architecture
SOLID, Clean Code & Design Patterns
Modular monoliths, microservices & distributed systems
Resilience, fault tolerance, security & integration
Software Craftsmanship, Scrum, XP & pair programming

JVM backend & services

Building dependable business services

Java
Spring Boot, Cloud, Security, MVC, WebFlux & Batch
Quarkus, Jakarta EE
JPA / Hibernate
Maven, Gradle
REST, GraphQL, SOAP, JWT, OAuth2 & SSO

Frontend & web platforms

Turning complex flows into useful products

Angular, Angular Universal
React, Next.js, Astro
JavaScript / TypeScript
HTML, CSS, Tailwind CSS
Node.js, Express.js, NestJS
Ionic and responsive product interfaces

Data, search & integration

Making information move safely

PostgreSQL, MySQL, SQL Server, Oracle, DB2
MongoDB, Elasticsearch
Redis, Hazelcast & caching strategies
Kafka, Avro, events & messaging
Liquibase, Flyway, relational and NoSQL modelling
OpenAPI, third-party, payment and conversion integrations

Algorithms & performance

Keeping systems fast under real constraints

Complex algorithms and optimisation
Application and database performance
Profiling, load testing and capacity thinking
Caching, asynchronous processing and throughput
Campaign, attribution and conversion performance
Technical diagnosis and evidence-based tuning

Quality & testing

Creating confidence before and after release

JUnit, Jest, Cucumber
Playwright, Cypress, Selenium, Protractor
Unit, integration, contract, end-to-end & performance testing
SonarQube, code review and automation
Test strategy, regression control and release readiness

Cloud, DevOps & delivery

Making delivery repeatable

Docker, Docker Compose, Kubernetes, Helm
GitLab, GitHub, Jenkins, Azure DevOps & CI/CD
AWS, Azure, GCP
Ansible, Terraform, NGINX, Traefik
Pipelines, environments, release automation & infrastructure

Observability & operations

Understanding software in production

Dynatrace, Grafana, Prometheus, Datadog
ELK, Kibana, Fluentd, Loki
Logs, metrics, traces and distributed diagnostics
Alerting, dashboards, incident feedback and operational readiness

Applied AI

Accelerating feedback without losing judgement

Claude Code, Codex, Cursor
OpenAI and Anthropic APIs
RAG, embeddings and vector search
Ollama / local models
Agents and MCP integrations