A. Hussain

Arbash Hussain

Machine Learning · Deep Learning · Writing

DevOps engineer at Vodafone. Independently, I study machine learning — neural networks, language models, computer vision — and write about what I learn. My research interest is mechanistic interpretability.


Background

I am a DevOps Engineer at Vodafone, with a strong interest in machine learning and the engineering behind intelligent systems. My interests span deep learning, language models, and computer vision, with a particular curiosity about mechanistic interpretability— understanding the internal computations of neural networks.

Beyond industry work, I write technical articles and founded Vector Intuition, a website for learning about AI, previously known as CrackSheet. CrackSheet was live until I stopped it a few months ago. Vector Intuition is under development.


Skills & Interests

MLOps / DevOps

Production infrastructure, deployment pipelines, and lifecycle management of ML workloads.

CI/CDMLflowKubernetes

Machine Learning

Predictive modeling, feature engineering, and model evaluation using classical ML methods.

Scikit-learnXGBoostLightGBM

Deep Learning

Neural network design for computer vision and NLP, with emphasis on modern architectures and optimization.

PyTorchJAXspaCy

Computer Vision

Object detection, image segmentation, and real-time visual understanding pipelines.

YOLOOpenCVRoboflow

LLM Applications

Language-model applications, retrieval pipelines, and agent-style workflows.

LangChainLangGraphCrewAI

Mechanistic Interpretability

Research interest in reverse-engineering neural networks — circuits, features, and the internal algorithms models learn.

TransformerLensPyTorchSAEs

Projects

Vector Intuition

Under Development
2024 - Present

A website for learning about AI.

Next.jsAppwriteTypeScript

Research Assistant

2024

A tool for managing, summarizing, and interacting with research papers using large language models.

LangChainCustomTkinterPython

Recommendation System

2023

Personalized recommendation engine for books, songs, and movies with collaborative filtering.

Machine LearningDjangoVanillaJS

Brain Tumor Classifier

2023

Medical imaging classifier for brain tumor detection using convolutional neural networks.

Deep LearningCNNTensorFlowVanillaJS

Sign Language Detection

2023

Real-time gesture recognition system for interpreting sign language.

Computer VisionPythonOpenCV

Heart Attack Detection

2023

Predictive model for early heart attack risk assessment from clinical data.

Machine LearningScikit-learnVanillaJS

Chess Engine

2022

A chess engine capable of playing against humans or other AI opponents.

PythonPygameMinimax

Algorithm Visualizer

2022

Interactive visualizations of sorting and search algorithms for educational purposes.

PythonPygame