Enes Kosar
Not just proofs of concept. I design and deploy scalable AI systems that work reliably in production. From AI MVP development to full-scale LLM infrastructure, I turn ambitious ideas into real, working products.
Are you…
Exploring an AI idea but unsure how to turn it into a real product?
Building an AI MVP that works in demos but not in production?
Integrating LLMs but struggling with reliability, scaling or infrastructure?
Looking to automate complex workflows using AI?
I help founders move beyond experiments and build AI systems that are stable, scalable and production-ready.
Production-first AI. Built for reliability, scale, and real users.
I'm an AI consultant focused on building production-ready AI products, not just demos.
I help founders and teams move from idea or prototype to a reliable system: LLM apps, AI agents, RAG pipelines, and automations with the engineering needed for deployment, monitoring, and iteration.
My work prioritizes stability, scalability, and measurable business impact, with experience across Web3, customs, healthcare, and real estate. Available for new projects.
const enes = {
role: "Applied AI Consultant",
focus: "Production-ready AI products (not demos)",
builds: ["LLM apps", "AI agents", "RAG systems", "AI automation"],
stack: ["Python", "LangChain", "Pydantic", "Docker", "Redis", "PostgreSQL", "Celery", "OpenAI", "Claude"],
status: "Open for projects"
};A proven process to deliver exceptional results
Real-world applications showcasing my expertise
Private, retrieval-augmented AI assistant built with DeepSeek and vector search. Enables secure document querying with semantic retrieval and context-aware responses.
AI-powered internal knowledge system that indexes company documents and enables fast, accurate information retrieval using embedding-based search and LLM reasoning.
Automated web data extraction pipeline combining scraping, structured parsing, and LLM-based information normalization for business intelligence and market analysis use cases.
Multi-step AI agent architecture that plans, generates, refines, and validates long-form content using tool-based orchestration and structured reasoning workflows.
Production-ready AI engineering services built for scale and reliability
Designing and building production-ready LLM systems with structured outputs, API integrations, and scalable backend architectures.
Developing document-aware AI systems using embeddings, vector databases, and semantic search pipelines for accurate contextual responses.
Building multi-step AI agents with orchestration logic, tool-calling, memory handling, and autonomous decision workflows.
Creating intelligent data extraction, scraping, and processing pipelines enhanced with LLM-based normalization and reasoning.
Have a project in mind? Let's discuss how I can help bring your ideas to life.