Victor Miranda is a data scientist with eight years of experience who blends an electrical engineering master's background from UC San Diego with hands-on ML research and production work at Leidos. He has moved from machine learning internships exploring hyperdimensional computing to research scientist and current data scientist roles, applying multimodal information retrieval, computer vision, and AI systems engineering. Comfortable across the stack, he builds sklearn-like APIs, front-end prototypes, and back-end data pipelines using Python, web technologies, SQL, and cloud services. Victor also brings teaching and leadership experience—running workshops, tutoring advanced math, and coordinating open-source learning programs—that sharpen his ability to explain complex models to diverse audiences. Based in Los Angeles, he’s focused on turning research ideas into reproducible software and improving developer workflows through better tooling and collaboration.
8 years of coding experience
5 years of employment as a software developer
Electrical Engineering, M.S., Machine Learning and Data Science, Electrical Engineering, M.S., Machine Learning and Data Science at University of California, San Diego - Jacobs School of Engineering
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