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 database optimization guides hand you a list of ten techniques and skip the one question that matters: which problem do you actually have? Here is the diagnosis-first version. Find the real bottleneck, then apply the cheapest fix that clears it.
A NAT gateway charges you twice: an hourly fee per gateway and a per-GB processing fee on every byte through it, often on top of normal data transfer. Here is where the money leaks and the cheapest ways to stop it.
A cache is the reflex after you fix the slow query. The real decision is where it lives. A local in-memory cache is faster and simpler than Redis until you run more than one instance, and then it quietly serves stale data. Here is how to pick.
Most teams reach for sharding years before they need it. There is a ladder of cheaper, lower-risk fixes that comes first, and the right rung depends on which bottleneck you actually have: read load, write load, or data size. Here is the ladder, from cheapest to last resort.
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.
