Shubham Maddhashiya
IIT Kharagpur, India
Summary
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SeniorShubham Sahu is a software engineer with nine years of experience, currently building software at JLR after a stint at Goldman Sachs. Trained in chemical engineering at IIT Kharagpur, he brings a quantitative mindset to backend development and numerical computing. An active open-source contributor, he has improved high-performance ODE solvers in the SciML ecosystem by implementing and optimizing Adams–Bashforth–Moulton methods and adding rigorous convergence tests. His background includes leadership and service roles at IIT Kharagpur’s Technology Adventure Society, reflecting strong collaboration and mentoring abilities. Based in West Bengal, India, he combines domain rigor from engineering with practical software craftsmanship, often focusing on performance-critical code paths. Notably, his work on variable-step integrators demonstrates both numerical insight and a habit of validating correctness under real-world constraints.
9 years of coding experience
Github Skills (8)
differential-equations10
ode10
numerical-methods10
ordinary-differential-equations10
julia10
scientific-machine-learning9
scim9
numerical-analysis9
Programming languages (9)
Github contributions (5)
SciML/OrdinaryDiffEq.jl
Mar 2018 - Oct 2018
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:119 commits, 24 PRs, 149 comments in 7 months
Contributions summary:Shubham's commits focus on implementing and optimizing Adams-Bashforth-Moulton (ABM) and related numerical methods for solving ordinary differential equations (ODEs) within the SciML ecosystem. Their contributions include the addition of new methods like AB3, AB4, AB5, and various variable-step-size methods. They refactored and improved existing implementations, optimized function evaluations to enhance performance, and added convergence tests to validate the correctness and efficiency of the new methods.
scientific-machine-learningordinary-differential-equationsdifferentialequationsodeevent-handling
sipah00/CrickFev
May 2017 - Dec 2017
CLI for getting update of live cricket matches
Contributions:22 commits, 14 PRs, 20 pushes in 6 months
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