Ritu Singh
Stealth at Stealth Startup
Varanasi, Uttar Pradesh, India
Summary
🎓
Top SchoolRitu Singh is a machine learning and distributed-systems engineer with eight years of experience building secure, scalable data pipelines and AI evaluation infrastructure. She has shipped performance-focused systems at Citrix (including a Kafka-based CDC pipeline and a vastly faster Chromium build system) and worked on production-ready encryption and data-masking pipelines at Fortanix to future-proof services against quantum threats. Academically grounded with a BTech/MTech in Mathematics and Computing from IIT (BHU) Varanasi, she contributes to prominent open-source projects like SymPy—improving core symbolic algebra functions and tests—which reflects a strong foundations-first approach to backend engineering. Equally at home designing continuous model evaluation and hyperparameter automation, she blends research instincts (RL and LSTM work on smart-grid battery arbitrage) with hands-on engineering to turn complex math into reliable production systems.
7 years of coding experience
4 years of employment as a software developer
Bachelor and Master of Technology in Mathematics and Computing Mathematics and Computer Science, Bachelor and Master of Technology in Mathematics and Computing Mathematics and Computer Science at Indian Institute of Technology (Banaras Hindu University), Varanasi
Github Skills (7)
unit-testing10
computer-algebra10
python10
sympy10
testing10
test-automation8
numpy8
Programming languages (11)
Github contributions (5)
sympy/sympy
Dec 2018 - Apr 2020
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:169 commits, 48 PRs, 441 comments in 1 year 4 months
Contributions summary:Ritu primarily contributed to the core functionality of the computer algebra system. They modified unit definitions and tests related to physics and units, specifically addressing the scale factor of kilograms. They also added test cases for the numpy printer. Furthermore, the user corrected and improved various functions including `simplify_logic` and `powsimp` function. In addition to that, the user added more tests to the system.
mathpythonsciencecomputer-algebra-systemalgebra
adityauser/My-details
Oct 2018 - Oct 2019
Contributions:6 commits, 4 PRs in 1 year
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.