Build your product faster
with a senior full-stack engineer
Scalable web, mobile, and backend systems built with modern technologies. 10+ years shipping production software.
End-to-end product engineering.
Four ways I help teams ship — from rapid AI-generated sites to full mobile apps.
Fullstack Development
Next.js frontend + Kotlin backend (Ktor / Spring Boot). Postgres, Mongo, MySQL.
Backend Systems
APIs, microservices, authentication systems built to scale.
Mobile & Desktop
Kotlin Multiplatform — Android, iOS, Desktop from one codebase.
AI-Generated Websites
Built and hosted via Lovable. Fast delivery in 24–72h.
Pick the methodology that fits.
Every project is different. I bring the discipline that matches your scale and risk profile.
Data-Driven
Analytics, dashboards, tracking. Decisions backed by signal.
Event-Driven
Real-time systems and scalable backends with messaging.
Test-Driven
High reliability and maintainability through rigorous testing.
Hosting that fits your budget and scale.
Scalable Cloud
Azure + Kubernetes
- Auto-scaling
- High availability
- Production-grade observability
Cost-Efficient VPS
Own VM, full control
- Lower monthly cost
- Full root access
- Great for early stage
AI Hosting
Lovable platform
- Instant deployment
- Zero infra to manage
- Perfect for marketing sites
How I write code.
Tests are the seatbelt for your codebase.
Every project I ship comes with an automated test suite running in CI. That's how a small team can move fast without breaking the product on Friday afternoon.
Unit tests
Pure logic, business rules and utilities verified in isolation. Fast feedback on every save.
Integration tests
API routes, database queries and auth flows tested end-to-end against a real test database.
Coverage & CI
Coverage reports on every PR. Builds fail when critical paths drop below threshold — no surprises in production.
- 01Lint & type-checkPASSED12s
- 02Unit testsPASSED34s
- 03Integration testsPASSED1m 18s
- 04Coverage reportPASSED8s
- 05BuildPASSED42s
- 06Deploy previewin progress…—
| auth.spec.ts | ✓ 24 | — | 0.42s |
| billing.spec.ts | ✓ 31 | — | 0.61s |
| api.integration.ts | ✓ 47 | — | 12.4s |
| checkout.e2e.ts | ✓ 12 | — | 18.7s |
Common questions about how I test.
Coverage isn't a vanity number and CI isn't bureaucracy — both exist so you can change code on a Friday and still sleep on Sunday.
What coverage target do you aim for?
80% statements / 80% branches on critical paths (auth, billing, data writes). 100% chasing is a vanity metric — I focus on the code that hurts most when it breaks.
Where do tests run — local DB, mocks, or real services?
Unit tests run in-memory. Integration tests run against a real Postgres in Docker (Testcontainers) so SQL, RLS and migrations are exercised. External APIs (Stripe, email) are stubbed with recorded fixtures.
How does CI gate merges?
Every PR triggers GitHub Actions: lint → type-check → unit → integration → coverage threshold → build → preview deploy. A red step blocks merge. Coverage drops below threshold also block merge.
Do you write end-to-end (E2E) tests?
For critical user journeys, yes — Playwright against a preview environment. Checkout, signup and any flow that touches money gets E2E coverage. Everything else stays at the integration level for speed.
What happens to flaky tests?
They get fixed or quarantined the same day. A flaky suite that everyone learns to ignore is worse than no suite at all.
Shipping software you can defend, not just demo.
Security work happens before launch and on every commit after. Here's the baseline I run on every project.
OWASP Top 10 checks
Manual review and automated scans for injection, broken auth, IDOR, SSRF and the rest of the usual suspects before launch.
Auth flow tests
Integration tests cover signup, login, password reset, session expiry, role escalation attempts and Row-Level Security boundaries.
Dependency scanning
Automated audits on every PR. CVEs above a threshold fail the build. Lockfiles pinned, Dependabot opens upgrade PRs weekly.
AI can generate code. Shipping a product takes more.
AI tools (including the ones I use myself) are great for speed. But the parts that decide whether your product survives — security, performance, updates, edge cases — still need an experienced engineer behind the wheel.
- Looks great on day one — quietly breaks at scale, on edge cases, or under real load.
- Security holes: leaked secrets, missing auth checks, weak validation, public DB rules.
- No upgrade path — dependencies rot, frameworks change, nobody knows how to fix it.
- Generic patterns copy-pasted everywhere; technical debt compounds fast.
- When something breaks at 2am, there's no one who actually understands the system.
- Architecture chosen for your real constraints — not the average of the internet.
- Security reviewed end-to-end: auth flows, RLS, input validation, secrets, headers.
- Performance profiled and tuned — fast today and a year from now.
- Clean, typed, tested code that other engineers (or future-you) can extend.
- A single accountable engineer who owns updates, fixes, and the long game.
Auth, RLS, input validation, secrets — done right, not auto-generated.
Profiled queries, sensible caching, real load tested — not vibes.
Typed code, tests, dependency upgrades — your codebase keeps moving.
I use AI every day to move faster. The difference is that every line still passes through 10+ years of engineering judgement — so you don't end up paying twice to rebuild it next year.
Productized packages.
Fixed scope, fixed price. Or hourly for custom work.
AI-generated, 3–5 pages, hosted.
Fullstack app, auth, database.
Kotlin Multiplatform, iOS + Android.
Custom scope, custom quote.
Recent projects.
Level up with senior-grade courses.
Practical online courses on Git, modern coding, CI/CD pipelines, and customer satisfaction. Buy once, watch forever, ship better next week.
Start your project today.
Tell me about what you're building. I'll come back with a free estimate within 24 hours.