Daniel Manesh is a PhD student in computer science at Virginia Tech with 14 years of software engineering experience spanning industry and research, including a multi-year tenure at Google and a research internship at Postman. He blends rigorous academic training from MIT (BS, MEng) with practical systems and back-end development expertise, contributing to production-scale projects and open-source tooling. Notably, he has contributed to the widely used music21 computational musicology toolkit, improving pitch handling, repeat-finding, and MusicXML robustness—evidence of his ability to bridge domain-specific research and resilient engineering. Based in Blacksburg, Virginia, Daniel focuses on research-driven software solutions that translate complex algorithms into dependable, well-tested code.
13 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Virginia Tech
Contributions summary:Daniel primarily worked on the `music21` library, a toolkit for computational musicology. Their contributions included resolving conflicts in the `pitch.py` file, adding functionality to the `repeat` module (specifically, the `RepeatFinder` object), and fixing exceptions within the `musicxml` module. They also implemented and tested various features within the `repeat` module.
Contributions:22 pushes, 1 branch in 6 years 2 months
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