Blog
Notes from production work: AI, machine learning, and computer vision.
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10 min read
How I load-test self-hosted model serving before an air-gapped rollout
The method I use to benchmark speech, embedding and LLM serving on one GPU before it ships to an air-gapped site: the test bench, mixed-load and soak runs, a text-to-speech fix, an FP8 check, and what changed once I was on site.
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9 min read
I Stopped Using Basic RAG in 2026. Here's What Replaced It.
Basic RAG is a one-trick pony. I built a hybrid system that fuses vector search, graph databases, and intelligent routing - with production security. Here's the architecture, explained simply.
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9 min read
Building a Multi-Agent Log Analytics Platform From Scratch
How we designed a 4-agent event-driven pipeline for high-volume logs, with semantic error grouping, anomaly detection, and intelligent workflow routing.
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7 min read
The Secret Life of a Data Detective
Why 80% of machine learning work has nothing to do with building models. A honest look at data quality, the art of cleaning messy datasets, and why we turn off the lights when we leave the room.
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6 min read
Why You Don't Use a Sledgehammer to Crack a Nut
A practical guide to choosing the right tool for the job in data science. From SQL to vector databases, understanding trade-offs is what separates junior engineers from architects.
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5 min read
Building an Intelligent Document Extraction System with Vision-Language Models
A deep dive into architecting an enterprise document extraction system that combines traditional OCR with Vision-Language Models for high-accuracy extraction across diverse document formats.
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8 min read
Building Enterprise Agentic AI Systems: Lessons from Production Voice Agents
A deep dive into architecting enterprise conversational AI systems with real-time voice, LLM-powered analysis, and intelligent automation. Insights from building AI call center platforms.