Karlo Vrancic
Graduate Research Assistant
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKarlo Vrancic is a data scientist and engineer with a decade of experience blending product-minded execution and research-grade machine learning across academia and industry. Currently a Graduate Research Assistant at Harvard Medical School / MGH, he builds cross-modal deep learning models for speech reconstruction from real-time MRI while pursuing data science graduate studies. He co-founded TeeWiz, where he shipped a generative-model-based workflow that scaled to 1,000+ users and immediate revenue, and previously architected a high-precision pipeline at CERN that uncovered hundreds of predatory publishing operations. Comfortable from low-level engineering to statistical research, he pairs "vibe coding" creativity with rigorous feature engineering and LLM-enabled semantic analysis. Based in Cambridge and a longtime Vim user, Karlo brings a rare mix of scrappy product focus, academic rigor, and experience deploying ML systems into real-world workflows.
10 years of coding experience
1 year of employment as a software developer
Cross Registration, Computer Science, Cross Registration, Computer Science at Massachusetts Institute of TechnologyMaster's degree, Data Science, Master's degree, Data Science at FERMaster's degree, Data Science, Master's degree, Data Science at Harvard UniversityMaster's degree exchange, Computer Science, Master's degree exchange, Computer Science at EPFLGithub contributions (5)
gcupko00/NetworkSniffer
Apr 2016 - Sep 2016
Contributions:46 commits, 88 pushes, 1 branch in 5 months
bolkonksy/BunniesAndCarrots
Apr 2016 - Oct 2016
Contributions:15 commits, 14 pushes, 1 branch in 5 months
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