@yashmaini
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Jun 29, 2025 · 8 min read · How I built an enterprise-grade threat detection system using machine learning, AWS cloud infrastructure, and modern MLOps practices The Challenge: From Lab to Production Network security threats are evolving faster than ever, and traditional rule-b...
Join discussionJun 29, 2025 · 5 min read · How I built an enterprise-grade serverless platform to detect AI-generated code using Amazon Bedrock, complete with monitoring, security, and DevOps best practices. The Problem: Detecting AI-Generated Code in the Wild With the rise of AI coding assi...
Join discussionMay 4, 2025 · 4 min read · Model Evaluation with MLflow & Dagshub: The Real-World Teenage ML Engineer's Playbook Dagshub: The “GitHub for Data Science” That Actually Gets It Alright, first up-let’s talk about Dagshub. If you’re tired of losing track of your models, datasets, o...
Join discussionMay 2, 2025 · 3 min read · Absolutely! Here’s your Model Trainer documentation, formatted and explained in the exact style and structure you provided for Data Transformation. Overview The Model Trainer stage is responsible for training a machine learning model (ElasticNet) usi...
Join discussionApr 27, 2025 · 3 min read · Overview The Data Transformation stage is responsible for splitting the input dataset into training and testing sets. This is a crucial step in preparing your data for machine learning, ensuring that your model can be trained and evaluated effectivel...
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