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.
You run a Java product and want to add an AI feature. There are two real framework choices. Here is the honest comparison across providers, RAG, tools, Spring fit, and the one thing that decides it for most teams.
The strength question first, then real numbers. Which password hashing algorithm actually protects you, what the current recommendations are, and how to tune each one to a verification time your login path can absorb.
Do Java virtual threads make a Spring Boot app faster? I load-tested the same app both ways on real AWS hardware. The honest answer: below saturation they do nothing, on CPU-bound work they do nothing, and where they win on blocking I/O, a properly tuned platform pool matches the throughput. The real case for virtual threads is not raw speed, it is having no pool to tune and a cheaper thread.
AWS says Graviton gives up to 40 percent better price-performance. I put the same Spring app on same-rank Intel, AMD, and Graviton instances and measured it. It is true, I got 43 to 60 percent, but the reason is not that Graviton is faster. It is cheaper, and same vCPU does not mean same cores.
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.
