writing
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Evaluating metadata classification
Retrieval is tuned. The limiting factor now is metadata classification — the local model that labels each document is wrong more often than it's right. Here's the problem in detail, and how I plan to measure and improve it.
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Evaluating document chunking for retrieval pipeline
How I evaluated the chunking layer of FindFiles by sweeping chunk size, overlap, and splitting strategy against a labeled set of 53 real government forms, on-device.
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Semantic File Search with LangChain and Chroma
A walkthrough of a semantic file search assistant that indexes local documents and enables intelligent retrieval using vector embeddings.
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Apache Flink
Explores how Apache Flink powers real-time fraud detection in financial systems through dynamic model updates, stateful stream processing, and scalable architecture.
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Perceptron to MNN
A walkthrough from perceptrons to multilayer neural networks, explaining linear models, equations, and how input data is structured for deep learning.
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Why deep learning?
The purpose of this article is to understand why one might choose deep learning algorithms over the machine learning algorithms.
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Choosing the loops!
A short article explaining how one can choose what loop to use during programming.