<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Vicky Dasta</title><description>Vicky Dasta — AI researcher and computer vision engineer building production-grade vision systems: detection, tracking, and edge inference.</description><link>https://dasta.web.id/</link><item><title>Faster Vision Inference: From Detector to Deployed Pipeline</title><link>https://dasta.web.id/blog/faster-vision-inference/</link><guid isPermaLink="true">https://dasta.web.id/blog/faster-vision-inference/</guid><description>ONNX, quantization, resolution trade-offs, and tracking tricks — how I squeeze real-time perception out of Jetson and CPU edge boxes.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Latent Space for Chemometrics: What Spectra Are Really Telling You</title><link>https://dasta.web.id/blog/latent-space-chemometrics/</link><guid isPermaLink="true">https://dasta.web.id/blog/latent-space-chemometrics/</guid><description>PCA, PLS, and latent variables for spectral data — how to compress thousands of collinear wavelengths into a handful of meaningful directions.</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate></item><item><title>LLM Inference on a Budget: What Actually Moves the Needle</title><link>https://dasta.web.id/blog/llm-inference-on-a-budget/</link><guid isPermaLink="true">https://dasta.web.id/blog/llm-inference-on-a-budget/</guid><description>KV-cache, quantization, batching, and speculative decoding — the practitioner shortlist for serving LLMs fast without a GPU cluster.</description><pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Training Detection Models That Survive the Field</title><link>https://dasta.web.id/blog/training-detectors-that-survive-the-field/</link><guid isPermaLink="true">https://dasta.web.id/blog/training-detectors-that-survive-the-field/</guid><description>Data curation, augmentation for ugly conditions, and evaluation beyond mAP — a field manual for training detectors that hold up on deployment.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate></item></channel></rss>