Anurag Bhat
Strats And Quant Associate
Mumbai, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolAnurag Bhat is a Strats and Quant Associate with four years of hands-on experience bridging algorithmic development, mathematical modeling, and fast computation, currently at Morgan Stanley after a quantitative analyst role at Dolat Capital. A 3rd‑year IIT Jodhpur computer science student, he has a strong open‑source footprint—contributing test coverage and reliability fixes to SymPy and backend improvements to the LPython compiler through consecutive GSoC engagements. His work demonstrates careful attention to numerical correctness and tooling (test automation, slicing error handling, integration tests), reflecting a blend of research mindset and production discipline. Based in Mumbai, he’s exploring web development and machine learning alongside core math/algorithm interests, and favors collaboration on PyData projects where precision and performance matter.
4 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Indian Institute of Technology JodhpurLokhandwala Foundation SchoolPace Junior Science College
Github Skills (19)
computer-algebra10
python10
testing10
math10
maths10
math-functions10
compiler-compiler10
compiler10
error-handling10
test-automation10
polynomials9
test-driven-design9
time-series9
semantic-analysis9
unit-conversion8
Programming languages (8)
Github contributions (5)
lcompilers/lpython
Jun 2022 - Jan 2023
Python compiler
Role in this project:
Back-end Developer
Back-end DeveloperContributions:71 reviews, 7 commits, 33 PRs in 7 months
Contributions summary:Anurag contributed to the LPython compiler by adding error handling for slicing operations, including integer casting of strings. They introduced a version variable and the `endwith` keyword. Additionally, the user fixed typing errors within documentation and code comments. They also added and updated integration and test files.
compilerpythonhigh-performance
sympy/sympy
Dec 2021 - Jan 2023
A computer algebra system written in pure Python
Role in this project:Backend Developer & QA Engineer / Test Automation Engineer
Backend Developer & QA Engineer / Test Automation EngineerContributions:265 reviews, 63 commits, 77 PRs in 1 year
Contributions summary:Anurag contributed significantly to the `sympy/sympy` repository by adding and fixing tests for various mathematical functions and issues. Their commits include test cases for series limits, polynomial roots, unit conversions, and other mathematical concepts within the pure Python computer algebra system. The user's work improved the test coverage and reliability of the SymPy library, ensuring the correct behavior of the mathematical computations. They also removed unwanted code and reverted a previous fix, indicating a focus on maintaining code quality and addressing specific issues.
computer-algebra-systempythonmathcomputer-algebrascience
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