Cecilia Nyberg

Cecilia
Nyberg

Data Science & AI


AI Engineer & LLM Researcher

Hello! I'm Cecilia Nyberg, an AI Engineer and researcher focused on LLM agents, applied deep learning, and AI systems.

My recent work focuses on tool-using LLMs, including fine-tuning models for multi-step tool use, improving robustness to prompt-structure changes, and building agent systems with reasoning, retrieval, memory, and function calling.

I completed my Master's thesis at Ericsson, where I applied machine learning and time-series forecasting to optimize energy usage in radio units. A manuscript based on this work is currently under minor revision.

I am currently a visiting researcher at the Deep Learning Lab at Seoul National University, where my research focuses on LLM agents, tool learning, and applied AI systems. My current work includes a paper on prompt-robust tool learning for LLM-based ship inspection workflows.

Feel free to explore my projects and experience on this site.

Cecilia Nyberg

Research Areas

LLM Agents & Tool Use

Fine-tuning and evaluating language models for multi-step tool use, function calling, and structured decision-making workflows.

Efficient and Sustainable AI

Exploring methods that improve model performance with limited labeled data or constrained deployment settings, using approaches such as quantization, transfer learning and data-efficient training strategies.

Applied Deep Learning

Designing machine-learning systems for real-world applications, including time-series forecasting, multiared bandits, and operational decision support.

AI for Health Care & Image Recognition

Interested in applying deep learning and LLM-based systems to healthcare-related problems, including image recognition, workflow support and interpretable decision support.

Experience

Oct 2025 — Present

AI Engineer

LLM Core AI, Inc. · Full-time · Seoul, South Korea

LLM-based agentic automation systems. Agentic AI development and large language model engineering.

Jul 2025 — Present

Researcher

Seoul National University · Seoul, South Korea

Research on efficient LLMs and intelligent agents using LangGraph and large language models.

Jan 2025 — Jun 2025

Master Thesis Student

Ericsson · Stockholm, Sweden

Time series forecasting for energy-efficient dynamic voltage control in radio units.

Jun 2024 — Jul 2024

Software Developer

Ongoing · Full-time · Gothenburg, Sweden

Implementation of additional service selection functionality for transport bookings in WMS. C#, HTML and more.

Education

Aug 2023 — Jun 2025

Master's Degree, Data Science and AI

Chalmers University of Technology

PyTorch, image recognition, prompt engineering, meta-learning and more.

Sep 2024 — Dec 2024

Graduate Student, Data Science and AI

Seoul National University

Graduate courses focused on LLMs, prompt engineering and machine learning techniques.

Jun 2023 — Aug 2023

Coursework in Economics

University of California, Berkeley

Aug 2020 — Jun 2023

Bachelor's Degree, Industrial Engineering and Management

Chalmers University of Technology

Java, financial analysis and more.

Publications

2026

Learning to Optimize Voltage Level for Energy-Efficient Radios. C. Nyberg et al.

IEEE Transactions on Machine Learning in Communications and Networking

Manuscript under minor revision.