A Scalable Architecture for Text Correction and Normalization
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Updated
Dec 21, 2025 - Python
A Scalable Architecture for Text Correction and Normalization
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Leadership Coach AI Agent with Youtube knowledge base and Web Search
Efficiently import very large CSV files into a database using Laravel 12 seeders. This project demonstrates memory-safe CSV streaming, chunked inserts, and optimized performance for handling millions of records without timeouts.
A professional, web-based application designed specifically for handling and analyzing large CSV and text files that are too massive for conventional spreadsheet software. Built with Python and Flask, it provides a robust, browser-based interface for searching, previewing, and exporting data from files that can exceed several gigabytes in size.
Save up to 45% disk on Minecraft servers with compact .linear region files
A high-performance Change Data Capture (CDC) tool for comparing CSV files and detecting differences. Built with Python and optimized for speed using Polars, NumPy, and xxHash.
A Go-based microservice for managing the lifecycle of data chunks across distributed processing workflows, including creation, validation, tracking, processing, completion, expiration, and cleanup.
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