Summary
Cassandra Calciano is a software engineer based in the San Francisco Bay Area who blends a UC Berkeley education in Data Science and Slavic Literature with nine years of varied technical and teaching experience. She splits her time between full‑stack web development (React, ASP.NET Core, SQL) and data science/ML work (Python, TensorFlow/PyTorch, NLP), currently building an AI agent that translates natural language to SQL and surfaces contextual insights for finance professionals at Wells Fargo. Cassandra has taught NLP and data engineering courses, led seminars for large finance audiences, and maintained Python libraries that enable nontechnical users to perform data analysis—demonstrating strong communication and product-focused engineering. Her research experience includes mapping large relational datasets to Wikibase and working on OCR/handwritten text recognition, reflecting a rare intersection of computational rigor and humanities scholarship. Comfortable moving between production APIs, ML models, and domain-facing tooling, she brings both implementation depth and an educator’s knack for making complex systems accessible.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Data Science, Bachelor of Arts - BA, Data Science at University of California, Berkeley
Intensive Russian, Intensive Russian at Liden & Denz Intercultural Institute of Languages, St.Petersburg, Moscow, Irkutsk and Riga
Russian