I am Alexandru Paunoiu, a founder and CTO with a PhD in Mathematics from ETH Zürich and an MSci in Joint Mathematics & Computing from Imperial College London. My passion lies in architecture and development of intelligent AI systems, particularly in the areas of Retrieval-Augmented Generation, agent-based AI, and multimodal reasoning. I enjoy building solutions from the ground up and leading full product lifecycles in cutting-edge research and industry environments. I have deep professional experience spanning AI, blockchain research, and algorithmic trading technology. My core skills include designing proprietary knowledge graphs, fine-tuning large language models to capture nuanced user intent, and implementing high-throughput distributed systems. I am currently based in Zürich and open to relocation opportunities worldwide where I can contribute as a tech leader, innovator, and AI expert.

Dr. Alexandru Paunoiu

I am Alexandru Paunoiu, a founder and CTO with a PhD in Mathematics from ETH Zürich and an MSci in Joint Mathematics & Computing from Imperial College London. My passion lies in architecture and development of intelligent AI systems, particularly in the areas of Retrieval-Augmented Generation, agent-based AI, and multimodal reasoning. I enjoy building solutions from the ground up and leading full product lifecycles in cutting-edge research and industry environments. I have deep professional experience spanning AI, blockchain research, and algorithmic trading technology. My core skills include designing proprietary knowledge graphs, fine-tuning large language models to capture nuanced user intent, and implementing high-throughput distributed systems. I am currently based in Zürich and open to relocation opportunities worldwide where I can contribute as a tech leader, innovator, and AI expert.

Available to hire

I am Alexandru Paunoiu, a founder and CTO with a PhD in Mathematics from ETH Zürich and an MSci in Joint Mathematics & Computing from Imperial College London. My passion lies in architecture and development of intelligent AI systems, particularly in the areas of Retrieval-Augmented Generation, agent-based AI, and multimodal reasoning. I enjoy building solutions from the ground up and leading full product lifecycles in cutting-edge research and industry environments.

I have deep professional experience spanning AI, blockchain research, and algorithmic trading technology. My core skills include designing proprietary knowledge graphs, fine-tuning large language models to capture nuanced user intent, and implementing high-throughput distributed systems. I am currently based in Zürich and open to relocation opportunities worldwide where I can contribute as a tech leader, innovator, and AI expert.

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Experience Level

Expert
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Intermediate
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Work Experience

Founder & CTO at floatz.ai
July 1, 2023 - Present
Founded and architected a proprietary Knowledge Graph from scratch to power a Retrieval-Augmented Generation (RAG) system tailored for academia and R&D industries. Developed an agent-based scientific information retrieval system and a multimodal AI capable of adaptive reasoning across diverse information sources. Fine-tuned large language models to align with user profiles and implemented data pipelines for automated and manual data labeling. Established evaluation frameworks using precision, recall, F1, and ROUGE metrics. Led the product from architecture through scaling to 25,000+ users at institutions such as ETH Zürich, Stanford, and Oxford. Secured pre-seed funding, ranked in the top 10% of applications in a Y Combinator cycle, and established partnerships including with the ETH AI Center.
Researcher & Product Analyst at nChain
September 30, 2023 - August 4, 2025
Solved a critical blockchain scalability challenge by architecting a proof of concept in Rust that distributed Merkle tree creation, increasing throughput by 1000x for zero-confirmation transactions. Designed and prototyped a novel Multi-Party Computation (MPC) protocol to enhance data privacy which led to a successful patent filing.
Technology Analyst (Internships) at Morgan Stanley
December 31, 2014 - August 4, 2025
Worked in Equities Algorithmic Trading in 2013, optimizing a core trading engine search algorithm and boosting data retrieval performance by 10x alongside building a full-stack data visualization app. In 2014, developed a full-stack application for market data aggregation supporting sales and pricing teams in the Derivatives Trade Capture group.

Education

PhD in Mathematics at ETH Zürich
January 1, 2014 - December 31, 2020
MSci Joint Mathematics & Computing (First Class Honours) at Imperial College London
January 1, 2010 - June 30, 2014

Qualifications

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Industry Experience

Education, Financial Services, Software & Internet, Professional Services, Life Sciences