Executive Summary The evolution from traditional data pipelines to AI-driven agent pipelines represents one of the most significant architectural shifts in enterprise computing since the move from monoliths to microservices. This transformation is not merely an incremental improvement—it fundamentally redefines how organizations think about data processing, orchestration, and system design. For two decades, Extract-Transform-Load (ETL) […]
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Getting Started with Full Stack AI Engineering: A Practical Guide for 2026
A comprehensive guide to becoming a Full Stack AI Engineer in 2026. Learn the complete stack from frontend to infrastructure, with practical code examples using GPT-5, Python, FastAPI, LangChain, and Next.js for building AI-powered applications.
Read more →Case Study: Building a Modern FHIR Patient Timeline Explorer with .NET 10 and React 19
The Challenge: Building Patient-Centric Healthcare UIs Solution Architecture Architecture Highlights Implementation Details 1. Backend API Implementation (.NET 10) 2. Entity Framework Core Models 3. React Frontend with TypeScript DevOps and Deployment Docker Compose for Local Development Kubernetes Deployment Key Features Implemented Results and Metrics Lessons Learned Conclusion
Read more →The Type Revolution: How Python’s Gradual Typing Transformed My Approach to Building Production Systems
Executive Summary Five years ago, I would have dismissed Python type hints as unnecessary ceremony for a dynamically typed language. Today, I cannot imagine building production systems without them. This shift did not happen overnight—it came from debugging production incidents at 3 AM, onboarding new team members to complex codebases, and watching refactoring efforts spiral […]
Read more →The Complete Evolution of OpenAI’s GPT Models: From GPT-1 to GPT-5.2
A comprehensive journey through OpenAI’s GPT model evolution from 2018 to 2025. From the 117M parameter GPT-1 to today’s trillion-parameter GPT-5.2, explore the revolutionary advances in context windows, pricing, capabilities, and market adoption that have transformed AI.
Read more →Production Model Deployment Patterns: From REST APIs to Kubernetes Orchestration in Python
After deploying hundreds of ML models to production across startups and enterprises, I’ve learned that model deployment is where most AI projects fail. Not because the models don’t work—but because teams underestimate the engineering complexity of serving predictions reliably at scale. This article shares production-tested deployment patterns from REST APIs to Kubernetes orchestration. 1. The […]
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