Artificial Intelligence Engineer, Allclaims Pro Public Adjusting
2025 — present
Developing LLM-based tools with prompt engineering and RAG workflows; integrating solutions to enhance decision-making and business processes.
Hi, I’m Katyna Sada
I’m a PhD candidate in Artificial Intelligence for Cancer Research at Tecnun, Universidad de Navarra. I work on data analytics, high‑performance computing, and modern machine/deep learning. I care about building things people can actually use—especially when they help patients and teams make clearer decisions.
Before my PhD, I studied Biomedical Engineering and completed an MSc in Data Analytics, where I focused on bioinformatics and scalable computing. During this time, I discovered my passion for data analysis and machine learning. I feel fortunate to have started my PhD just before the rapid growth of AI.
Day to day, I design and deploy ML models, run analyses, and build data pipelines that scale. I try to make results easy to understand and explain.
I split my time between research and applied work, usually with interdisciplinary teams. When a topic grabs my attention, I go deep, take notes, and love sharing what I learn!!
PyTorch
85%
TensorFlow
65%
DNNs
95%
CNNs
70%
Autoencoders
70%
Transformers / LLMs
55%
Explainable AI (XAI)
70%
Python
85%
R
99%
Java
70%
Matlab
90%
SQL
75%
Git
80%
Weights & Biases
90%
Linux (Ubuntu)
80%
SLURM
70%
AWS
50%
Developing LLM-based tools with prompt engineering and RAG workflows; integrating solutions to enhance decision-making and business processes.
Preprocessed and normalized biomedical datasets; implemented ML models to predict drug response for patient-derived cells.
Built and fine-tuned ML models for treatment response prediction; Teaching Assistant in Data Analytics, HPC, Bioinformatics, and NGS.
Directed brand development and sales strategies to boost market presence.
Machine learning, data science, image processing techniques, high-performance computing, bioinformatics, next-generation sequencing, operations management
You can view my latest CV below. If the embedded preview doesn't load, open it directly.