A bit about me

I’m a data scientist based in Abu Dhabi, currently working at GBM. I have approximately four years of experience in the field, spanning both the private and government sectors. My work has involved projects in finance, manufacturing, and R&D.

These days, I’m especially interested in the space where machine learning meets high-performance computing. I’m leaning toward research-focused roles that mix hands-on engineering with exploration and experimentation.

This site is where I share what I’m learning and building, mostly around machine learning, high-performance computing, and applied research. I also write about personal projects and anything interesting I come across in data science, statistics, or computer science.

Latest posts

What I'm working on

Here's what's keeping me busy lately and what I'm excited about. If any of these areas spark your interest, I'd love to connect and discuss!

Topics I'm Exploring

These are areas I'm actively thinking about, studying, experimenting with, or ideating for future projects.

Econometrics Macroeconomics Reinforcement Learning Physics-Informed ML Synthetic Data Generation Differential Privacy Privacy-preserving ML Dynamic Model Compression LLM Model Merging

Blog & Paper Topics

I enjoy reading and sharing knowledge about ML systems, tooling, and practical implementations of deep learning research. My focus currently is on data-centric design, and infrastructure-oriented ML, particularly on-prem deployment of LLMs, distributed inference, and HPC for scalable training.

ML Paper Reviews LLM Infrastructure Inference Systems Systems Thinking Agent Communication Quantization

Working on something similar?

I'm always excited to discuss these topics, share insights, or explore potential collaborations. Whether you're tackling similar challenges or have interesting perspectives to share, let's connect!