Summary
Peter Szabo is a Principal AI Architect and founder with 21 years of hands-on experience spanning UX, engineering, and machine learning, who still codes daily and currently leads AI architecture at SAP. He has built production agentic AI systems (LangChain → LangGraph/LangSmith) delivering autonomous agents, swarms, and orchestrators with strong observability and reliable tool use that drive measurable business impact. As founder of Tengr.ai he shipped a Europe-based generative image product to 400k registered users, ran HPC-backed model iteration on NVIDIA A100 clusters, and embedded privacy-by-design and EU AI Act–aligned model cards. He previously scaled AceTech from 0 to 40+ people with zero attrition and executed a successful exit, and has repeatedly translated UX craft into production-grade products since early web design days. An author and TEDx curator, he combines storytelling and stakeholder alignment with rigorous reproducibility, safety systems (Hyperalign), and governance practices. Based in Budapest, he pairs doctoral-level AI research training with pragmatic product delivery across regulated and high-stakes environments.
10 years of coding experience
11 years of employment as a software developer
University of Medicine, Pharmacy, Science and Technology "G.E. Palade" of Târgu Mureș
Master's degree, Graphics and Industrial Design (Grafică şi Design Industrial), Master's degree, Graphics and Industrial Design (Grafică şi Design Industrial) at Universitatea „Petru Maior” din Târgu-Mureș
Bachelor's Degree, Communication and Public Relations, Bachelor's Degree, Communication and Public Relations at Babes-Bolyai University
Liceul Teoretic "Bolyai Farkas"
English, Hungarian, Romanian, French