--- title: "Yash Maini (@yashmaini) | Hashnode" description: "Yash Maini (@yashmaini) writes on Hashnode. Read their latest articles and follow their work." url: "https://hashnode.com/@yashmaini" --- @yashmaini # Yash Maini @yashmaini 路 Joined March 2025 ### [Building a Production-Ready MLOps Platform for Network Security Threat Detection 馃洝锔廬(https://mlops-threat-detection-platform.hashnode.dev/building-a-production-ready-mlops-platform-for-network-security-threat-detection?utm_source=hashnode&utm_medium=feed) 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... 8 min read 路 [mlops-threat-detection-platform.hashnode.dev](https://mlops-threat-detection-platform.hashnode.dev/building-a-production-ready-mlops-platform-for-network-security-threat-detection?utm_source=hashnode&utm_medium=feed) [Jun 29, 2025](https://hashnode.com/posts/building-a-production-ready-mlops-platform-for-network-security-threat-detection/686165c32a00423ded9f02a1) ### [Building CopyGuard: A Production-Ready AI Code Detection Platform on AWS](https://ai-code-detector-with-aws-bedrock.hashnode.dev/building-copyguard-a-production-ready-ai-code-detection-platform-on-aws?utm_source=hashnode&utm_medium=feed) CopyGuard uses Amazon Bedrock for AI code detection, emphasizing security, scalability, and monitoring in a serverless setup 5 min read 路 [ai-code-detector-with-aws-bedrock.hashnode.dev](https://ai-code-detector-with-aws-bedrock.hashnode.dev/building-copyguard-a-production-ready-ai-code-detection-platform-on-aws?utm_source=hashnode&utm_medium=feed) [Jun 29, 2025](https://hashnode.com/posts/building-copyguard-a-production-ready-ai-code-detection-platform-on-aws/6860e8b2f50c3594f770173e) ### [09 Model Evaluation & Dagshub](https://predict-pipe-datascience.hashnode.dev/09-model-evaluation-and-dagshub?utm_source=hashnode&utm_medium=feed) Evaluate machine learning models with MLflow and Dagshub to optimize workflow and collaboration in data science 4 min read 路 [predict-pipe-datascience.hashnode.dev](https://predict-pipe-datascience.hashnode.dev/09-model-evaluation-and-dagshub?utm_source=hashnode&utm_medium=feed) [May 4, 2025](https://hashnode.com/posts/09-model-evaluation-and-dagshub/68174159e1d3065c2e95baa2) ### [08 Model Training](https://predict-pipe-datascience.hashnode.dev/08-model-training?utm_source=hashnode&utm_medium=feed) Learn how to configure, train, and deploy an ElasticNet model using YAML and ensure efficient pipeline orchestration for accurate predictions 3 min read 路 [predict-pipe-datascience.hashnode.dev](https://predict-pipe-datascience.hashnode.dev/08-model-training?utm_source=hashnode&utm_medium=feed) [May 2, 2025](https://hashnode.com/posts/08-model-training/6814c95caaddadf6b9f2ddaf) ### [07 Data Transformation](https://predict-pipe-datascience.hashnode.dev/07-data-transformation?utm_source=hashnode&utm_medium=feed) Learn about the data transformation process, including dataset splitting, configuration, and pipeline orchestration for machine learning preparation 3 min read 路 [predict-pipe-datascience.hashnode.dev](https://predict-pipe-datascience.hashnode.dev/07-data-transformation?utm_source=hashnode&utm_medium=feed) [Apr 27, 2025](https://hashnode.com/posts/07-data-transformation/680e42761afa9898d46896b8)