Become a sponsor to Vaibhav Kumar Dixit
I am a Software Engineer at Julia Computing based out of Bengaluru, India. I am involved in maintaining and developing packages for Scientific Machine Learning in the SciML organisation. So far my primary contributions have been to the parameter estimation tooling, DiffEqParamEstim.jl, DiffEqBayes.jl, DiffEqFlux.jl and GalacticOptim.jl and I also maintain the GlobalSensitivity.jl package for global sensitivity analysis. Additionally I am also involved in expanding Julia's EHR integration capabilities and contribute to packages in the JuliaHealth organisation like SMARTAppLaunch.jl and EHRAuthentication.jl. I would appreciate sponsorship to continue devoting time to my current projects and also expand my contributions to more projects. See you around!
Motivate to target more.
Featured work
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JuliaHealth/EHRAuthentication.jl
Helper code for authenticating to various electronic health record (EHR) systems
Julia -
SciML/Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
Julia 728 -
SciML/DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Julia 121 -
SciML/GlobalSensitivity.jl
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Julia 52 -
JuliaHealth/SMARTAppLaunch.jl
Implementation of the SMART App Launch Framework for building SMART on FHIR applications
Julia 2