Summary
Alejandro Pelcastre is a data consultant and software engineer with a decade of hands-on experience blending analytics, ML, and full-stack engineering to solve product and system reliability problems. A UC Berkeley Regents & Chancellor Scholar with a MS in Information and Data Science and a BS in Physics, he has applied rigorous scientific training to production work—reducing latency for millions of users at Amazon and surfacing error-prone sessions via large-scale SQL analysis. He pairs teaching and community engagement (100+ students taught; GSI experience) with applied research—from diamond quantum effects to gender-bias in word embeddings—bringing both technical depth and a social-science lens to data work. Having overcome early-life insecurity as an undocumented immigrant, he channels resilience into mentoring, design, and building equitable sociotechnical systems, and plans to pursue a Ph.D. to combine research and teaching long-term.
10 years of coding experience
1 year of employment as a software developer
Master's degree Information and Data Science, Master's degree Information and Data Science at University of California, Berkeley
Spanish, English