SİNAN UÇAR

AI architecture with software engineering

I combine senior software engineering with AI architecture: LLM/RAG workflows, structured outputs, integration decisions, and realistic feasibility assessment.

Experience

15+ years in software engineering

Enterprise software systems, Diplom in computer science, and delivery in mature system contexts.

AI focus

LLM, RAG, and structured outputs

AI engineering with LangChain/LangGraph, Pydantic, retrieval quality, and controlled data flows.

Architecture

Feasibility before hype

Assess use cases, plan integrations, expose risks, and turn decisions into testable systems.

Selected

In development

BetriebsGehirn

Local knowledge infrastructure with RAG, source status, and answer confidence

RAG is more than vector search here: search scope, source grounding, evidence status, structured output logic, and honest non-answers. Local architecture prototype, not a finished product.

Read the case note →

The Latency Trap: Why Sequential Code Fails in AI Integration

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