Summary
Malaika Handa is a Software Engineer with eight years of experience building data-driven systems and machine learning solutions, currently contributing to Google Maps Mobile in New York. Trained at Carnegie Mellon in Statistics & Machine Learning, she brings a blend of production engineering and research experience—from migrating model-fitting services and network distillation at Google to redesigning constrained clustering and record-linkage tools at Crime Lab NY. Her work spans Python, scalable ETL, and model interpretation, and she has a track record of turning messy, long-running datasets into reproducible pipelines and visual debuggers. Malaika also translates technical ideas for broader audiences: she authored a data-driven Pudding piece quantifying skin-tone representation in Vogue covers and has spoken at PyData NYC on that project. She mentors and teaches regularly—supporting ninth graders in CS and leading university labs—demonstrating a commitment to making data and code more accessible. Colleagues describe her as both pragmatic and curious, equally comfortable optimizing production pipelines and probing the societal questions that data can illuminate.
8 years of coding experience
2 years of employment as a software developer
High School, High School at The International School of Florence
Bachelor’s Degree, Statistics & Machine Learning, 3.6, Bachelor’s Degree, Statistics & Machine Learning, 3.6 at Carnegie Mellon University
English, Spanish, Italian