Summary
Rodrigo Mulsa is an Artificial Intelligence Engineer based in Amsterdam with nine years of experience applying computer vision, NLP, and predictive modeling to real-world problems. He has moved between research and product-focused roles—most recently at Extractly after exploring advanced one-shot face swap approaches that fuse CNNs and Vision Transformers at 3DUniversum. His work spans bias evaluation in Dutch contextualized embeddings, automated OCR+NER pipelines for contract data capture, and tenant departure forecasting using gradient-boosted models, showing strength across the full ML lifecycle from data engineering to model validation. Rodrigo thrives in collaborative settings, translating stakeholder needs into deployable, data-driven solutions, and he brings hands-on experience building data pipelines and mining unstructured web data. Notably, his background includes both academic research and practical automation projects, giving him a pragmatic research-to-production mindset.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS (Hons) Data Science & Artificial Intelligence, Bachelor of Science - BS (Hons) Data Science & Artificial Intelligence at Maastricht University
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of Amsterdam
Bachelor of Science - BS (Unfinished) Creative Media and Game Technologies, Bachelor of Science - BS (Unfinished) Creative Media and Game Technologies at Saxion University of Applied Sciences
English, Spanish, Dutch