MVP launch
Turn a validated idea into a secure first SaaS release with auth, data model, payments, tests, CI/CD and a live URL.
For founders and SMB teams: I turn ideas into secure, scalable SaaS products and internal tools in about 4 weeks.
Fractional CTO / full-stack engineer for secure, tested, AI-powered SaaS and operations software. You get scope, architecture, delivery plan, tests, deployment and handover without lowering the engineering bar.
Most visitors arrive with a half-defined idea, an overloaded backend, or an AI feature that needs to be real. The first step is not a sales pitch; it is a practical scope, risk and delivery conversation.
Turn a validated idea into a secure first SaaS release with auth, data model, payments, tests, CI/CD and a live URL.
Add production AI features such as document intelligence, RAG, semantic search, summaries and workflow automation with cost and privacy controls.
Replace fragile spreadsheets, old backends or manual operations with maintainable internal tools, APIs and dashboards your team can own.
Not side projects. Not tutorials. Deployed, monitored, maintained — built on architecture that scales.
KVKK/GDPR-compliant citizen management SaaS · Vercel Edge + Render + Neon Postgres (Frankfurt)
Public-sector agencies needed a secure, auditable way to manage citizen records — with strict compliance from day one, not retrofitted later.
Multi-department workflows, 3-tier access control, PII encryption, real-time audit logging, 2FA, and intuitive mobile UX — all in a maintainable SaaS that non-engineers can operate.
FastAPI + React 19 multi-tenant SaaS with Fernet AES-128 encryption, JWT refresh rotation, RBAC, TOTP 2FA, 30+ audit event types, and CI/CD. Claude powers 9 AI features: NL search, CSV mapping, anomaly detection, daily briefing, duplicate merge, NL reports, AI chat with live SQL, audit trail explanation, and credit metering. Stripe billing and Python name normalization.
GDPR-aligned, verified architecture. 107 automated tests, zero failures. Production-ready with mobile-optimized hamburger drawer UX, natural language audit explanations, streamlined navigation, and responsive design. All 6 phases complete.
Scope, architecture, build, deployment and handover moved as one delivery system.
Regression risk is controlled with an automated suite and CI gate, not manual hope.
AI moved beyond demo mode into search, reports, audit explanations and live data workflows.
Security, auth, audit trail and deployment controls were treated as launch requirements.
Quarry block extraction cost calculator — marble & granite · document-calibrated formulas · EUR/TRY
Quarry operators estimated extraction costs manually — inconsistent, error-prone, no way to compare block dimensions or track historical data.
Web app with formulas calibrated against investment documents — drill times, cutting, electricity, loader costs per block. Deployed on Azure Container Apps with GitHub Actions CI/CD, TOTP 2FA enforcement, and 55%+ test coverage.
From validated MVP to production-grade product — deployed, monitored and maintainable from day one. Auth, RBAC, GDPR, encryption and CI/CD are default, not extras. You get a living codebase your team can own — not a disposable prototype.
High-performance REST APIs built for scale and maintainability. Security scanning, rate limiting and comprehensive test coverage are included by default — not billable extras. Every endpoint in OpenAPI. Every migration Alembic-tracked.
Production-ready AI features for your product — same security and reliability as everything else I ship. No experimental APIs in production. No vendor lock-in without a documented exit plan. Cost controls, fallback handling and rate limits baked in from day one.
Ask about my projects, services, skills, or engineering writing. Claude AI finds the most relevant answers across the whole site — including 88 technical blog posts.
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Practical techniques for optimizing React applications using code splitting, lazy loading, and profiling tools with real metrics.
Master memoization, code splitting, and bundle analysis to build React apps that stay fast as they grow.
Configure SQLAlchemy's mapper events and relationship loading strategies to automatically filter cross-tenant relationships by tenant_id, preventing security breaches when lazy-loading a user's organizations or an organization's members.
A practical 12-point architecture checklist for founders and teams adding AI, scaling FastAPI backends, or modernizing internal tools. Built to turn technical content into qualified architecture calls.
A client's previous developer shipped auth without password hashing — I found it during a handover audit. That stays with you. Now AES-128 encryption, bcrypt, JWT refresh rotation, TOTP 2FA and a full audit trail are the baseline on every project I ship. Not a billable extra, not an afterthought. You get the codebase I'd want protecting my own data.
I use Claude, Cursor and Copilot at every stage — but not for code I can't explain. AI handles the predictable parts: test scaffolding, boilerplate, documentation drafts. That frees me for the decisions that actually matter — architecture, edge cases, security tradeoffs. CitizenApp shipped 9 production AI features, 107 tests, multi-tenant RBAC and Stripe billing in a matter of weeks — not months.
The CitizenApp test suite caught a migration bug before it reached a paying customer. That's the actual value — not a coverage number, but catching the failure that would have broken a workflow at 2am. Every project I hand over includes pytest, Vitest, and a CI gate that blocks broken deploys. The test suite is yours from day one.
Predictable process. Weekly visibility. No surprises at launch. You see real progress every single week — not a "reveal" at the end of a long silence.
Architecture review, security model, data model, stack decision, timeline. I ask uncomfortable questions early — because they're cheaper at day 1 than at week 4. You get a written technical spec before a single line of code is written.
AI-accelerated development with daily commits and weekly demos. You see a working build every Friday — not screenshots, a live URL. Boilerplate gets handled fast; architecture and the decisions that matter stay with me.
Comprehensive testing, security audit, performance profiling, dependency review. The CI/CD pipeline is set up and gated. Nothing ships until tests pass. Nothing deploys until I'd stake my name on it.
Zero-downtime deployment, monitoring setup, full documentation, clean handover. You own the code, the repo, the infrastructure. No lock-in. No "maintenance only I can do." You leave with something your own team can take forward.
Every engagement starts with a conversation. But here's what people typically hire me for — and roughly how long each takes.
Fixed scope, fixed timeline. Idea → deployed, tested, production-grade SaaS. Ideal for founders who need to move fast without cutting corners.
Add production-ready AI features to your existing product — chat, search, document intelligence, workflow automation. Same security standards as everything else.
High-performance REST APIs, database architecture, Redis caching, CI/CD pipelines. Security, tests and documentation included — not billable extras.
Architecture review, security audit, performance profiling. Delivered as a written report with prioritized recommendations. No ongoing commitment required.
Not sure which fits? Describe your project — I'll give you an honest answer.
"The best developers in 2026 don't just write code — they architect solutions and use AI to ship them significantly faster."
After 10+ years of Python, PostgreSQL and Redis backend work, I moved into full-stack development and then AI-augmented engineering. I ship end-to-end products with modern React 19, TypeScript and Tailwind — with an architectural depth most frontend-first developers can't match.
AI tooling is embedded in how I work — not as autocomplete, but as a genuine force multiplier at every stage. Faster architecture validation. Faster test generation. Fewer bugs reaching review. More of my time on the decisions that actually matter to your business.
Ten years of backend work means I've already made the expensive mistakes: missing indexes that kill performance at 100k rows, auth flows that seemed fine until a breach, migrations that silently dropped columns in production. I don't repeat them. That institutional knowledge is what you're actually hiring.
Freelance projects · contract work · long-term collaboration. I'll tell you exactly what I can build, how long it will take, and what it will cost. No fluff. No surprises.
Currently accepting new projects — limited availability
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