Nick Iliopoulos
Hi, I’m Nick Iliopoulos. I’m an AI Engineer with EU nationality and 7+ years of experience designing real-time intelligent systems and interactive decision engines.
About
Hi, I’m Nick Iliopoulos. I’m an AI Engineer with EU nationality and 7+ years of experience designing real-time intelligent systems and interactive decision engines. I’ve built production-grade AI solutions for live user interaction, including conversational agents, low-latency decision systems, and automated workflows that scale to billions of assets.
At Rakuten in Tokyo, I led the design and deployment of AI-driven, real-time systems for traders and portfolio managers, built automated trading pipelines, and crafted character-driven AI personas and voice-enabled interfaces. I enjoy turning complex data into usable tools and narratives that help users make better decisions in dynamic environments.
- 7 years' experience
- Joined January 2026
Industry experience
- Financial Services
- Software & Internet
More experts in Bern, Switzerland
Work experience· 6 roles
Led production-grade AI and real-time trading support for FX, CFD, and crypto traders and portfolio managers. Managed treasury portfolios totaling over $20B, employing stochastic-rate models to optimize tenor and duration exposure, delivering returns above benchmarks. Built fully automated trading systems that operate without human intervention, generating approximately $14M P&L annually. Developed high-frequency market-making algorithms that improved pricing precision by 16% across 15+ currency pairs, reducing market risk. Designed and deployed real-time conversational AI agents with context-aware responses and decision support, including speech-to-text and text-to-speech pipelines for voice-based interfaces. Created character-driven AI personas with consistent behavior and tone, and containerized services using Python and Docker with API exposure. Authored technical docs and usage guidelines to support ongoing iteration and feature expansion.
Explored human-system interaction in automated decision systems. Designed and taught Python-based courses on interactive data analysis, visualization, and user-centric system design. Mentored graduate students on building explainable and interpretable AI systems for real-world users.
Developed predictive models and simulation environments to evaluate system responses under varying user behavior scenarios. Collaborated with interdisciplinary teams to translate technical models into interactive tools and demonstrations.
Education
Certifications and awards
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