Computer Vision
Efficient OCR Pipeline for Low-Resource Environments
An in-depth look at building a lightweight optical character recognition system that runs on edge devices with limited compute, focusing on model quantization and inference optimization.
Deep Learning
Attention Mechanisms in Document Understanding Models
Exploring how modern transformer-based architectures handle complex document layouts, including tables, forms, and multi-column text, and what makes them work so well in practice.
Systems
Deploying ML Services on Budget Cloud Infrastructure
Practical guide to running model inference services efficiently on cost-constrained cloud VMs, covering containerization, resource tuning, and request batching strategies.
Tools
Setting Up a Reproducible Research Environment with Git and Conda
Thoughts on managing experiment reproducibility across different machines and collaborators — version pinning, environment exports, and when containers make sense.