Shubham Jha

Member Of Technical Staff 3 at Cohesity

Karnataka, India
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Summary

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Rockstar
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Shubham Jha is a software engineer with 7 years of experience building high-throughput, scalable systems for e-commerce and data platforms. He has driven core messaging infrastructure at Flipkart—helping deliver over 3 billion daily communications and operate ~70k QPS—and now contributes at Cohesity as a Member of Technical Staff 3. His background spans backend engineering, ETL pipelines, and performance optimization, with a track record of scaling distributed services used by 90+ internal teams. An early open-source contributor and 2019 Google Summer of Code participant, he improved SymPy’s Fourier series and sped up its assumptions querying system by an order of magnitude. Known for combining curiosity with pragmatic engineering, he often rewrites critical components to improve maintainability and correctness. He holds a B.Tech in Computer Science from NIT Agartala and is based in Karnataka, India.
code7 years of coding experience
job4 years of employment as a software developer
bookIntermediate, Intermediate at Bhaurao Devras Saraswati Vidyamandir,Noida
bookBachelor of Technology, Computer Science & Engineering, 8.91, Bachelor of Technology, Computer Science & Engineering, 8.91 at National Institute of Technology Agartala
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Github Skills (7)

algorithm10
algorithms10
computer-algebra10
math10
python10
maths10
testing9

Programming languages (7)

MDXTypeScriptC++JavaScriptGoHTMLPython

Github contributions (5)

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sympy/sympy

Nov 2018 - Jan 2020

A computer algebra system written in pure Python
Role in this project:
userBack-end Developer
Contributions:115 commits, 25 PRs, 3 pushes in 1 year 1 month
Contributions summary:Shubham primarily contributed to the `sympy/sympy` repository by improving the finite fourier series functionality. Their work involved fixing bugs, enhancing the finiteness checks, and refining the general finiteness checking process. This included modifications to the `fourier.py` and related test files (`test_fourier.py`), indicating a focus on improving the accuracy and robustness of Fourier series computations within the computer algebra system. Further commits involved refactoring the underlying code.
mathpythonsciencecomputer-algebra-systemalgebra
Contributions:43 pushes, 1 branch in 5 years 5 months
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