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 regulated SaaS.
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.
A government directive can now switch off your AI provider overnight - and pricing, deprecation, and policy could always do it. If a core feature depends on one model API you don't control, that's a single point of failure. Here's how to treat model access like any other supply-chain risk.
RDS is often the second or third biggest line on an AWS bill, sometimes the first, and most of it is avoidable. The levers that move it: fix the queries before you upsize, match the instance to your load shape, and stop provisioning storage for data that has not arrived yet.
One product I worked on went from 8-second page loads to 500ms and conversion doubled. Performance is a P&L line. Here's the money math and what it means for SaaS.
A head-to-head benchmark of the same Spring Boot app built for the JVM and as a GraalVM native binary - on real AWS hardware with a real database, run multiple times. Native wins startup, memory, and predictability; the warm JVM wins the median, peak throughput, and often the tail too - but the JVM swings run-to-run while native stays flat.
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.
