Blogs

Building a Production-Ready Speech-to-Text System with Fine-Tuned Whisper
Building a …

A comprehensive guide to developing, optimizing, and deploying a robust speech transcription service

Overview

In this technical deep-dive, we’ll explore the development of a production-grade Speech-to-Text system built on OpenAI’s Whisper model. The project demonstrates advanced ML …

Monitoring Behavioral Drift: Building a Local Real-Time ML Model Monitoring System from Scratch
Monitoring Behavioral …

Why Your ML Models Are Quietly Failing

Picture this: You deploy a machine learning model that predicts customer conversions with 85% accuracy. Six months later, you discover it’s performing at 65% accuracy, and you have no idea when the decline started or what caused it.

This scenario plays …

My "Full-Stack" MLOps Journey: From Broken Models to Actually Working AI
My "Full-Stack" MLOps …

Or: How I learned to stop worrying and love debugging neural networks

The Grand Plan (That Almost Failed Spectacularly)

I recently completed what I’d call my first “full-stack” MLOps project – and by “full-stack” I mean the entire pipeline from raw data to deployed …