Catalina Vajiac

PHD Student at IBM

Granger, Indiana, United States
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Summary

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Senior
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Top School
Catalina Vajiac is a PhD student at Carnegie Mellon University with a decade of experience bridging research and software engineering across academia and industry. She completed a rigorous 4-1 dual degree program earning B.S. degrees in Computing & Applied Mathematics (Saint Mary’s) and Computer Science (Notre Dame) with top grades. Her research spans probabilistic graph grammars and numerical precision in deep learning, and she has practical engineering experience from an IBM software internship. Catalina has taught foundational mathematics and computer science courses, signaling strong communication and mentoring skills alongside technical depth. Based in Granger, Indiana, she blends a code-and-coffee enthusiast’s hands-on coding habit with a researcher's rigor, often collaborating on projects that connect theory to applied systems.
code10 years of coding experience
job1 year of employment as a software developer
bookBachelor of Science (B.S.), Computing and Applied Mathematics, 3.91, Bachelor of Science (B.S.), Computing and Applied Mathematics, 3.91 at Saint Mary's College
bookBachelor’s Degree, Computer Science, 3.90, Bachelor’s Degree, Computer Science, 3.90 at University of Notre Dame
languagesEnglish, Romanian, French
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Github Skills (33)

javascript9
open-source9
irc-bot7
pyyaml7
css7
irc5
svg5
sasl5
fonts5
slack-bot4
python4
text-mining4
font-awesome3
slack3
branding3

Programming languages (5)

C++JavaScriptErlangJupyter NotebookPython

Github contributions (5)

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Contributions:12 pushes, 1 branch in 3 years 5 months
Contributions:1 push, 1 branch in 3 years 4 months
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