Eduard Cuba

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Based in Zürich, Switzerland

About

Machine Learning & AI Engineer with 3+ years of experience in LLMs, Generative AI, and Graph Neural Networks from Oracle Labs, CERN, and University of Zürich.

Full-Stack Engineer with 5+ years building scalable distributed systems, with code running on millions of Linux systems worldwide (Red Hat). Expertise across Cybersecurity, Big Data Pipelines, and HPC infrastructure.

Experience

Senior Member of Technical Staff
Oracle Labs
July 2024 - Present
Research Engineer leading R&D projects in data integration and information extraction using LLMs, Agentic AI, and Graph ML for enterprise applications.
Research Assistant
Interactive Data Analytics Group, University of Zürich
April 2023 - June 2024
Led a project in AI in Sustainability Research. Built LLM infrastructure and data processing pipelines using LlamaIndex, FastAPI and Qdrant to power a Vue.js application.
Technical Student
Machine Learning for HPC, CERN
February 2022 - March 2023
Benchmarked HPC GPU hardware for Machine Learning in High-Energy Physics. Developed ML pipelines using Graph Neural Networks for Particle Shower Reconstruction using PyTorch and C++.
Backend Developer
Dreamlab Technologies AG
October 2019 - June 2021
Software engineer on large-scale distributed data processing and threat detection systems. Developed Python and C components for Apache Kafka and the ELK Stack.
Full-Stack Engineer
Procivis AG
July 2018 - September 2019
Developed mobile and web applications from scratch to production using React Native, React, Python, C++, and Kubernetes.
Associate Software Engineer
Red Hat
May 2016 - June 2018
Redesigned and refactored software transaction databases in RPM-based systems. My C++ code in libdnf is deployed across millions of Linux systems worldwide.

Education

Master's Degree in Artificial Intelligence
University of Zürich, 2020-2023
Major in Artificial Intelligence, Minor in Data Science.
Bachelor's Degree in Information Technology
Brno University of Technology, 2015-2018
Information Technology

Projects

AI Advisor
Jeev.earth
2023 - 2024
Advised MRV startup on utilizing AI to automate analytics and reporting tasks for biodiversity preservation and nature restoration projects.
GenAI Project
faqtie.com
2023 - 2024
Built an AI-powered FAQ generation system for e-commerce and events, processing data from text, documents, and web pages.
Co-founder
Transmart
2017 - 2018
Led engineering for public transport optimization using cellular geospatial data. Secured funding after winning Big Data Hackathon.

Research

Master's Thesis: Pattern Recognition for Particle Shower Reconstruction
CERN & University of Zürich (2023) - Applied DGCNN models to classify energy segments in calorimetric particle shower reconstructions at the CMS HGCAL.
IVESA - Visual Analysis of Time-Stamped Event Sequences
Published in IEEE TVCG (2024)
AI-based High Energy Physics Workloads using HPC
CERN (2023) - Hyperparameter optimization and benchmarking of ML workloads

Open Source

Contributions:

Minor contributions:

  • MISP - Threat intelligence platform
  • arkime - Network monitoring
  • tcpflow - TCP flow analyzer
  • WALKOFF - Security automation

Technical Skills

Languages
Python, C++, JavaScript/TypeScript
Machine Learning
PyTorch, TensorFlow, Ray, scikit-learn, NumPy, Pandas
Frontend
React, Vue.js, React Native
Backend
FastAPI, Django, Flask, Express.js
Databases
PostgreSQL, MongoDB, Redis, Qdrant, ELK
Infrastructure
Docker, Kubernetes, Ansible, AWS