Resume · Updated July 2026
Celal Berkay Altunel
Applied AI Engineer and senior Artificial Intelligence Engineering student with hands-on experience building LLM products, RAG systems, multi-agent workflows and automation from backend and evaluation to product interface and deployment.
Technical focus
- LLM application engineering, Retrieval-Augmented Generation and multi-agent systems
- LLM evaluation, entity and claim grounding, human review and failure recovery
- Python, FastAPI, Supabase, pgvector, FAISS, LangGraph, MCP and n8n
- TypeScript, React, Next.js, Tailwind CSS and Vercel deployment
Experience
AI Department Intern · Teknasyon
Build n8n automation workflows integrating REST APIs for internal and AI related processes. Design and test RAG and MCP based workflows with attention to integration reliability, useful records and human review.
Selected engineering work
VirtuAI
A full-stack multi-agent AI media system with RAG, claim verification, human review and evaluation data.
Type Hype
A Style RAG workspace that retrieves how a brand writes and creates reviewable content for six platforms.
Hotel Intelligence
A private OpenClaw powered hotel revenue intelligence operation tracking comparable rates across future nights.
Flick
An internal multilingual transcript product with editable text, parallel localization and resilient retrieval.
HP Chatbot AI
An immersive RAG and voice experience with eight character personalities and intelligent source routing.
n8n Systems
Selected examples from a broader n8n practice spanning content, documents, campaigns and performance signals.
Education
Bahçeşehir University
Senior student focused on applied AI systems, product engineering and responsible evaluation.
Volunteering
FIRST Robotics Competition Volunteer
Support competition and organizational activities in different volunteer roles while helping high school students discover and engage with robotics.