Summary
Klemen Živkovič is an AI Dev Engineer and enterprise content management specialist with 11+ years building regulated ECM solutions and, more recently, production-grade AI trading systems. He combines deep Documentum and ELK/CI-CD experience for banks with hands-on Python, PyTorch and time-series expertise, having engineered a high-throughput crypto trading competition platform and a PyTorch DQN agent with robust risk controls. Comfortable across Java, C/C++ and modern ML stacks, he designs end-to-end pipelines—from Redis Streams and backfill-aware XML persistence to WebSocket dashboards and REST APIs—to turn research into scalable production. His background in mechanical engineering and an MSc in Information Management underpin a practical, metrics-driven approach to optimization and system reliability. Notably, he bridges regulated enterprise workflows with experimental AI agents, enabling concurrent strategy benchmarking and operational governance.
11 years of coding experience
3 years of employment as a software developer
dipl. ing., Mechanical engineering, dipl. ing., Mechanical engineering at University of Ljubljana
Master of Science (M.Sc.), Information-Management, Master of Science (M.Sc.), Information-Management at Univerza v Ljubljani
German, English, Italian