Production software and AI systems, engineered end-to-end.
Lead full-stack engineer and architect, based in Berlin. One of the first engineers at Parloa, pre-seed to ~$3B, building enterprise AI years before the hype. I ship software and verified, auditable AI agents for funded startups and the teams building them.
Real projects, real results.
“Alican took over the entire build of Up & Under and shipped the whole product end to end. He was a real sparring partner on every big decision, and his architecture was so well thought through that the platform was scalable and future-proof from day one.”
“Alican helped us architect our SaaS foundation and delivered hands-on full-stack work across every layer of the platform. He operates with the mindset of a technical co-founder, not a contractor.”
“Alican's decade of experience blends deep full-stack and AI expertise with an entrepreneurial edge. He built entire products in days, significantly speeding up development.”
“Alican built standalone data connectors for Zendesk and Slack, a CLI tool, and set up our entire repository architecture. His expertise in modern web technologies moved our product forward fast.”
“Alican built our medical platform across three phases: document management, AI-powered consultation transcription, and a real-time voice and chat system. He gave us a foundation that can handle future growth.”
More work under NDA
A lot of my client work cannot be shared publicly. Happy to walk through it and share references on a call.
Ask for referencesThree ways I work.
Build
Production software, AI integration, and technical rescue. Full-stack development from architecture to deployment.
See how I buildAdvise
Senior technical strategy on architecture, AI, and scaling. For founders who need an engineer's judgment, not just hands.
See advisory workEmpower
Lead offeringAgentic AI built into your product. Verified, auditable agents with real tool access and a full audit trail, not chatbot demos.
See AI systemsAn agent proposes. A verifier and a human decide.
Most AI demos answer confidently, even when wrong. I build systems that know when they are unsure. The agent reads and writes the language around a decision made on cited, versioned facts. A verifier blocks anything ungrounded, and high-stakes calls route to a human. Every run is a replayable audit trail.
- 01INTAKEParse the request into structured parameters. Never guess. Ask when unclear.
- 02RETRIEVEPull cited, versioned facts from an inspectable claim store, not raw model memory.
- 03REASONCall real tools with system access. Assemble a structured, cited proposal.
- 04VERIFYA verifier checks every citation, blocks anything ungrounded, respects hard constraints.
- 05GATEAnswer, redirect, or escalate to a human when the stakes or uncertainty are high.
Cited, versioned knowledge
Facts live in an inspectable claim store, never baked into model weights. No fine-tuning.
Verifier hard-blocks
Hard constraints are walls, not penalties. The system is never confidently, silently wrong.
Replayable audit log
Every retrieve, tool call, verdict, and human decision is appended and reviewable.
Architecture-first agentic coding.
I start with the system map. When the model sees your architecture, it stops guessing and starts reasoning. The setup determines the output.
Structure before code
Architecture docs, diagrams, and dependency maps go into context first. The model reasons about where a change belongs instead of guessing.
Boundaries prevent coupling
When component boundaries are explicit, the model will not silently create dependencies across them. Structure is a guardrail.
The codebase is the prompt
How code is organized determines how well AI works with it. Clean structure produces clean output. Messy structure produces spaghetti on autopilot.
What you get.
- Direct access. You talk to me, not a PM or a junior.
- Predictable scope, predictable pricing.
- Senior expertise across the full product lifecycle.
- AI-augmented delivery, end-to-end.
- Strategic input on architecture and product decisions, not just execution.
How we can work together.
Project-based
Defined scope, clear timeline, fixed deliverables. Most engagements run 4 to 8 weeks.
- Product and 0-to-1 builds
- AI integration projects
- Architectural rebuilds
Monthly retainer
Ongoing engineering partnership. Strategic input, execution, and AI integration as needed.
- Architecture and product decisions
- Code reviews and technical guidance
- Hands-on execution, flexible scope
Advisory
Senior strategic input without full execution.
- Architecture reviews
- AI integration planning
- Hiring and team scaling
From first call to shipped.
A free intro call to start, fixed scope before any work begins, and 30 days of support after handoff.
Intro call
A free 30-minute call to understand scope, constraints, and whether we are a fit.
Proposal and scope
Clear scope, timeline, and milestones agreed upfront. No hourly surprises.
Build
Weekly updates, async communication, and continuous delivery you can follow.
Handoff
Production deployment, documentation, repo transfer, and 30 days of support.
Working with funded startups and senior teams across Berlin, the US, and the EU.
Get in touch to discuss your project. I will respond within 24 hours.
Best fit: funded startups, seed to Series B, and the teams building with them. Not full-time roles or throwaway MVPs.
