I am a PhD student in Computational Science and Engineering at MIT.
I'm exploring program transformations for scientific computing using the Julia programming language. I'm interested in rule-based expression rewriting, high-performance computing, and interactive visualization software.
I'm excited by software tools that make life easier for engineers and scientists who do technical computing. I love knowing about every level of abstraction of computers – from registers and cache lines to compilers and programming language design. My advisor is Prof. Alan Edelman. In Fall 2020, I was a teaching assistant for the 18.S191 Introduction to Computational Thinking course. It's online and free for anyone!
Previously, I was a Principal Software Engineer at Julia Computing where I co-developed JuliaDB.
You can email me at gowdamit.edu. I hang out on the Julia Language slack where my user name is @shashi. My Github profile is here. I do not use Facebook or Instagram.
These are projects I am currently working on. All these projects are in the Julia language.
(co-author with Yingbo Ma
and others) A fast and modern CAS for a fast and modern language. I am spending most of my time on this and related projects.
Symbolic programming utilities and a rule-based expression rewriting system.
(co-author) Sientific modeling domain-specific language that compiles to Julia.
Filesystem inspired parallel computing abstractions.
A parallel scheduler for Julia
Projects that I wrote, that I now only occasionally help maintain.
Manipulate output with simple widgets in Jupyter
Distributed in-memory database written in Julia.
Fast just-in-time generated CSV parser for Julia.
Low level tools for web widgets
(dormant) experiments in web-based UIs
Here are some interesting Jupyter notebooks I made.