Performance audits, architecture reviews, and hands-on technical leadership. From someone who opens your codebase, not a slide deck. Also available as Fractional CTO →
How I help
Hands-on engineering, not PowerPoint consulting. Each starts with a free 30-minute scan.
Cut your cloud bill 20-50%. I find the waste and ship the fixes. Savings land on your next invoice.
Learn more →Slow app → fast app. Real results: 3s → 80ms response, 2× checkout conversion.
Learn more →Production AI, not demos. LLMs, RAG, and agents wired into your existing stack.
Learn more →Survive 10× traffic. Capacity planning, autoscaling, and architecture so launch day is boring.
Learn more →SOC 2, ISO 27001, GDPR. Technical controls and docs to pass the audit. From someone who ships in healthcare and GovTech.
Learn more →Book a free 30-minute call. We'll find your biggest bottleneck and I'll tell you exactly what I'd do.
Learn more →Also: Architecture Review, Senior Tech Advisory, CI/CD & Automation, Legacy Modernisation. Ask about any of these →
Results
A free PDF checklist covering the most expensive mistakes I see in cloud setups, and how to fix each one in under a day.
Senior hands-on help, not slide decks. I open your codebase, find the real bottleneck, and ship fixes with your team - in weeks, not quarters.
20+ years across backend, cloud, and IoT. Shipped at scale from early-stage startups to global enterprises. Oracle Certified Professional: Java SE 11.
When your system is slow, expensive, or fragile - I'm the engineer your staff lead calls.
Java, Kotlin, Python
AWS, Azure, DigitalOcean, Kubernetes, Terraform, bare-metal Linux
PostgreSQL, MySQL, Redis, MongoDB, Kafka, RabbitMQ (also: MSSQL, DB2)
Performance, DDD, Event-driven, CI/CD
Industries
IoT · Autonomous Logistics · GovTech · Fintech · Healthcare · Telecom
Practical guides on Java, Spring Boot, cloud architecture, and developer productivity.
Most AWS bills carry 20 to 40 percent waste, and cutting it does not take a FinOps team. This is the whole method in four steps: see where the money goes, kill the waste, pay less for what remains, and keep the bill down for good. Each step links to its own deep dive.
Multi-tenancy means one running application serves many customers while keeping their data apart. Here is what it means, the apartment-building analogy that makes it click, the three models, and how tenants stay separated, with links to go deep on each.
Row-Level Security is one layer, not the whole answer. Real tenant isolation is defense in depth across the data, the API, and the keys, so that no single mistake exposes another customer. Here are the layers and where each one earns its place.
Row-Level Security moves tenant isolation out of every developer's memory and into the database itself. Here is the exact Postgres pattern for a pooled multi-tenant app, plus the four footguns that leak data in production if you miss them.
Book a free 30-minute call. We'll look at your biggest bottleneck and I'll tell you exactly what I'd do - no strings attached.
