Summary
Pablo Laso is a data scientist based in the San Francisco Bay Area with eight years of experience bridging research-grade AI and production systems. He completed a deep learning master’s thesis at Harvard focused on generative models and algorithm optimization, and has applied that expertise across roles at GE, Karolinska Institutet, and Harvard Medical School to improve data-driven decision making and clinical AI tools. Hands-on experience deploying real-time data pipelines on AWS and shipping front-end work at Fireworks AI complements strong tooling skills in Python, SQL, Pandas, and PyTorch. Notably, he led an internship project in New York that materially raised data processing accuracy and efficiency for a live server environment, demonstrating an ability to translate research methods into reliable production improvements. He is motivated by using technology for sustainability and seeks collaborations that pair rigorous ML with tangible societal impact.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Master's degree at University of Twente
Master's degree, Master's degree at KTH Royal Institute of Technology
Master's thesis, Master's thesis at Harvard University
English, Spanish, French, Swedish