Writing

A local-first deep-work dashboard for people who keep switching projects before anything ships.

Reproducing OpenAI's Parameter Golf language model training challenge on RunPod — covering environment setup, SSH debugging, dataset wiring, and landing a val_bpb baseline on a single H100.

A walkthrough of reproducing a working CLIP image-to-text retrieval baseline on XR2 Gen 2, covering environment fixes, SSL certificates, dataset paths, and preprocessing gotchas.

A first-time thesis writer, not a strong coder, built an open-source AI agent system that helped him publish in a Q1 journal and defend his thesis. This is the full story.

After 8 GSD levels, 6 models, and 3,368 tile-label pairs, here's the condensed operational guide for deploying AI-based oil palm monitoring with a drone.

SAM 2.1 was trained on 1 billion masks. My 56MB YOLO model still outperformed the hybrid pipeline in most conditions. Here's the detailed explanation.

I trained YOLOv8, YOLOv11, Mask R-CNN, and two SAM hybrid pipelines on oil palm drone data. Here's what the numbers actually showed — including the result that surprised me most.

How I built a multi-resolution oil palm segmentation dataset from scratch — including the 301 corrupted label files I had to fix before anything could run.

A model trained at 3cm resolution failed at 6cm. Same drone. Same plantation. Different altitude. Here's the physics and math behind why — and what to do about it.

An open-source Obsidian plugin that converts wiki-links, image embeds, and callouts to Jekyll-compatible Markdown — then copies everything to your _posts/ folder.

How content filters cause it and why a VPN fixes it.

From zero to a fully-featured minimalist blog using Jekyll, GitHub Pages, and AI pair programming. A transparent look at ethical AI-assisted development.

A segmentation mask is a collection of pixels. Here's how we convert that into a physical canopy area in square metres and an equivalent diameter — with the full derivation and error analysis.