https://gmenon.dev/Engineering notes on backend systems, AI/agent platforms, CUDA and GPU programming, distributed data, and ML infrastructure. 2026-10-22T11:32:10+04:00 Gautam Menon https://gmenon.dev/ Jekyll © 2026 Gautam Menon /assets/img/favicons/favicon.ico /assets/img/favicons/favicon-96x96.png 2024-09-30T00:00:00+04:00 2024-09-30T00:00:00+04:00 https://gmenon.dev/posts/common-crawl-dataset-on-huggingface/ Gautam Menon

315M rows extracted from 7 years of CommonCrawl dumps using Apache Spark on Hetzner, published to HuggingFace

2024-09-16T00:00:00+04:00 2024-09-16T00:00:00+04:00 https://gmenon.dev/posts/system-design-and-unit-testing/ Gautam Menon

Three lessons on why upfront system design, unit tests, and microservice splits beat the fly-by-night approach

2024-09-09T00:00:00+04:00 2024-09-09T00:00:00+04:00 https://gmenon.dev/posts/nvidia-dlss-overview/ Gautam Menon

How NVIDIA DLSS uses RTX tensor cores and deep learning to upsample game frames to higher resolutions

2024-09-06T00:00:00+04:00 2024-09-06T00:00:00+04:00 https://gmenon.dev/posts/cuda-basics-and-resources/ Gautam Menon

Finally got setup with CMake and Nvidia Nsight to get going with CUDA programming. Surprisingly, there’s not a lot of content around it, despite its importance in running the entire GPU-based infrastructure for AI. A majority of the tutorials on CUDA are quite old. I guess the AI revolution sent all the Gandalfian C++ wielding CUDA devs into their lairs, driven to pull every ounce of performan...