Summary
Jaime Duxans is a technology consultant based in Stockholm with over four years of hands-on experience in EdTech, creating interactive learning platforms, adaptive feedback systems, and evidence-driven learning evaluations. With a foundation in physics and telecommunications engineering, Jaime previously implemented gyro calibration and motion-sensor algorithms as a signal processing engineer, bringing strong analytical and systems-thinking skills to product work. Currently expanding expertise through Stanford’s AI Professional Program with certifications in NLP and meta-learning, Jaime blends domain knowledge with modern AI techniques to improve educational outcomes. Comfortable in diverse, collaborative teams, he translates complex technical concepts into engaging educational content and measurable learning improvements. An understated strength is his cross-disciplinary fluency—bridging low-level sensor algorithms to high-level instructional design—which helps deliver technically sound and pedagogically effective solutions.
3 years of coding experience
1 year of employment as a software developer
Artificial Intelligence Professional Program, AI techniques, Deep learning, Machine learning, Artificial Intelligence Professional Program, AI techniques, Deep learning, Machine learning at Stanford University School of Engineering
Master of Engineering - MEng, Physics, Master of Engineering - MEng, Physics at Luleå tekniska universitet
Engineer's degree, Telecommunications Engineering, Telecommunications Engineering, Engineer's degree, Telecommunications Engineering, Telecommunications Engineering at UPC School (Universitat Politècnica de Catalunya)
Swedish, Spanish, English, katalanska