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.
Karpenter can take 20 to 40 percent off your EKS compute bill, more with Spot, without refactoring a line of app code. Why it beats Cluster Autoscaler, the audit sequence to roll it out safely, and the gotchas that quietly cost people money.
On a well-built Spring Boot app, exposing your product to AI agents is almost trivial: annotate a service method, add one starter. The wiring is the easy part. Choosing what to expose and securing it is the real work. Here is the honest version, on Spring AI 2.0.
Turning on RDS encryption satisfies the compliance question and stops almost none of the attacks that actually leak data. Here is what each layer of encryption at rest really defends against, on Postgres and AWS, and how to build the one that protects the sensitive field.
RAG means handing your AI the right page from your own documents before it answers. It is powerful when your knowledge base is large, changing, or per-customer. It is also something a lot of teams build too early. Here is the honest decision.
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.
