Implementing MLOps: Best Practices and Lessons Learned

A deep dive into the implementation of MLOps and its impact on reducing technical debt in ML projects.

E-Procurement Fraud Detection: A Machine Learning Approach

Exploring the use of ML classifiers in detecting anomalies and preventing fraud in e-procurement systems.

Scaling AI Models: From Development to Production

Insights on developing and deploying scalable AI models in production environments.

The Future of AI in Traditional Industries

Exploring how AI is transforming traditional industries and the opportunities it presents.

Optimizing Supply Chains with Machine Learning

How machine learning can be leveraged to improve efficiency and reduce costs in supply chain management.

Scaling Data Pipelines: Lessons from Processing 1TB Daily

Insights on designing and optimizing data pipelines to handle large-scale data processing efficiently.

Real-time Data Processing with Apache Kafka and Spark Streaming

A deep dive into implementing real-time data processing solutions using Apache Kafka and Spark Streaming.

Optimizing Data Warehouse Performance: A Case Study

How we redesigned our data warehouse schema to improve query performance by 200% and reduce storage costs.

Building a Data Lake: Architecture and Best Practices

A comprehensive guide to designing and implementing a scalable and efficient data lake.

Advanced Kafka: Beyond the Basics

Diving deep into advanced Kafka topics for building robust, scalable streaming applications.

Data Mesh: Decentralized Data Architecture

Exploring the concept of Data Mesh and its implementation for large-scale data management.

Building a Portfolio with Next.js

A step-by-step guide to creating an impressive portfolio website using Next.js.