Summary
Enes Karatas is a founding engineer and senior AI backend architect with 8 years of experience building production-grade, scalable AI infrastructure and distributed systems. He designs and ships end-to-end agent orchestration platforms—most recently authoring AgentOS at Upsonic—with an async runtime, observability stack, and Kubernetes-native CI/CD to run complex multi-agent workflows at scale. His background includes engineering high-accuracy Retrieval-Augmented Generation systems and hybrid semantic search over a 10M+ legal document corpus, using techniques like Agentic RAG and RAPTOR to eliminate LLM hallucinations. Enes pairs deep Python and FastAPI backend expertise with pragmatic DevOps (K8s, Helm, Prometheus) and event-driven architectures to optimize cost and performance in real deployments. He has a strong track record migrating legacy systems to modern Django platforms and leading small engineering teams, and he brings a hands-on habit of designing custom runtimes and guardrails that balance autonomy with human-in-the-loop safety. Based in Istanbul, he blends research-forward retrieval innovations with practical product delivery for enterprise-scale AI applications.
8 years of coding experience
5 years of employment as a software developer
Lisans Derecesi, Bilgisayar Yazılımı Mühendisliği, Lisans Derecesi, Bilgisayar Yazılımı Mühendisliği at Istanbul Sabahattin Zaim University
İngilizce