Alejandro Carbonara is a software engineer with 12 years of experience building production systems, currently at Google in New York. He combines industry-grade engineering at companies like Soar Technology with academic rigor from a Carnegie Mellon master's and research internships at Microsoft and Caltech. His background spans large-scale data analysis (working with Bing datasets using C# and SCOPE), distributed systems, and applied machine learning for real-world problems such as discrimination auditing and sensor-based detection. Alejandro has published peer-reviewed work on incentivizing peer grading in MOOCs and has presented technical findings to diverse audiences, showing strength in both research and communication. He is comfortable moving between research prototypes and production code, and has a track record of designing practical tooling (e.g., GUIs for cluster workflows) that bridge user needs and scalable compute. Based in NYC, he brings a blend of academic depth and product-focused engineering to complex data-driven challenges.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Computer Science, GPA: 3.6, Bachelor of Science (BS), Computer Science, GPA: 3.6 at California Institute of Technology
Masters, Computer Science, Masters, Computer Science at Carnegie Mellon University
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