Sagar S
PHD Student at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolSagar S is a PhD student in Computer Science at Carnegie Mellon with a decade of software engineering experience across research and industry, including internships at Netflix and Intuit and a research fellowship at Microsoft. He blends rigorous academic research with practical systems engineering, having built real-time data pipelines, unified legacy telecom code for Samsung, and contributed test automation and printing fixes to the widely used SymPy computer algebra system. His Google Summer of Code work with Mozilla shows a focus on user-centered browser behaviors and telemetry-driven validation. Based in Pittsburgh, he brings strong fundamentals from NITK (9.41/10) and a track record of shipping durable, well-tested changes that bridge theory and production.
10 years of coding experience
PhD, Computer Science, PhD, Computer Science at Carnegie Mellon UniversityBachelor of Technology - BTech, Computer Science, 9.41/10.00, Bachelor of Technology - BTech, Computer Science, 9.41/10.00 at National Institute of Technology Karnataka
Github Skills (15)
test-automation10
testing10
string-formatting10
computer-algebra10
expression10
parsing10
string-format10
python10
parse10
expressions10
math-parser10
computer-algebra-system10
math9
mathematics9
boolean-algebra9
Programming languages (9)
Github contributions (5)
sympy/sympy
Jan 2017 - Apr 2017
A computer algebra system written in pure Python
Role in this project:
Back-end Developer & QA Engineer / Test Automation Engineer
Back-end Developer & QA Engineer / Test Automation EngineerContributions:33 commits, 5 PRs, 75 comments in 2 months
Contributions summary:Sagar primarily focused on improving the string representation of mathematical expressions within the SymPy library. They corrected boolean expression printing, took care of operator precedence in the string output, and made improvements to the printing of sets. Additionally, the user made significant changes to the tests to ensure they aligned with the updated printing formats and address inaccuracies. Their work involved modifications to both the core printing modules and the associated test files.
computer-algebra-systempythonmathcomputer-algebrascience
Handwritten-Equation-Solver/Handwritten-Equation-Solver
Dec 2017 - Mar 2018
An application to solve handwritten mathematical equations using deep learning algorithms.
Contributions:14 commits, 6 pushes, 1 branch in 3 months
deep-learning
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