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Hey! I'm @MeesumQ (Meesum Qazalbash) 👋

I am a fresh graduate (graduated in June 2024 🎓) in Computer Science (major) + Mathematics (minor), from Habib University, Pakistan 🇵🇰.

I'm passionate about numerical/accelerated computing ⚡, machine/deep learning 🤖, and physics-informed machine learning 🌩️. During my undergrad, I explored various projects (available on my GitHub).

Currently, I'm working on Bayesian Inference for Binary Black Holes with members of the LIGO community 🚀, developing a device-agnostic Python package, GWKokab 📦, using JAX.

Have an idea? Let's chat! 💭

Find me on:

Meesum Qazalbash's Projects

data-structures icon data-structures

🐙 This is an open source repository for data structures that can be used and understood (code) by students espacially.

dotfiles icon dotfiles

🐙 All the configuration files I use.

flowmc icon flowmc

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

gradvault icon gradvault

A collection of resources 📝 that I found useful during my undergraduate 🎓.

huffman-coding icon huffman-coding

🐙 Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression. The process of finding or using such a code proceeds by means of Huffman coding, an algorithm developed by David A. Huffman.

jaxampler icon jaxampler

An open-source JAX-based statistical sampling toolkit 🧪

numpyro icon numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

opencl icon opencl

🐙 All the OpenCL codes I wrote for practice or assesment. Open for contribution.

wordle-pycli icon wordle-pycli

🐙 Play Wordle Anywhere, Anytime - Unleash Your Vocabulary Adventure!

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